Für die volle Funktionalität dieser Site ist JavaScript notwendig. Hier finden Sie eine Anleitung zum Aktivieren von JavaScript in Ihrem Browser.

Position innerhalb des Seitenbaumes

Raphael Heiko Heiberger

Herr Prof. Dr.

Leitung Sowi VII
Institut für Sozialwissenschaften
Computational Social Science

Kontakt

+49 711 685 81132
+49 711 685 81006
E-Mail
OrcID
Google Scholar

Seidenstraße 36
70174 Stuttgart
Deutschland
Raum: 2.075

Sprechstunde

nach Vereinbarung per Email

Fachgebiet

Raphael H. Heibergers Forschung ist im Feld der Computational Social Science (CSS) angesiedelt, das Sozial- und Computerwissenschaften verbindet. Er nutzt neue digitale Daten und computergestützte Methoden, um soziologische Fragen theoriegeleitet zu beantworten – mit dem Anspruch, soziale Phänomene nicht nur zu beschreiben, sondern zu erklären. Inhaltlich arbeitet er zu drei Schwerpunkten: zur politischen Kommunikation in digitalen Öffentlichkeiten (etwa zur Fragmentierung politischer Debatten, zu Populismus und demokratischer Resilienz), zur validen Messung komplexer sozialer Konzepte mit Künstlicher Intelligenz sowie zur Innovationsforschung – von wissenschaftlichen Karrieren bis zur Frage, wie Erfinder:innen und Patentprüfer:innen aushandeln, was als neu gilt. Methodisch stehen Natural Language Processing und Large Language Models, Soziale Netzwerkanalyse, Machine Learning und agentenbasierte Simulationen im Mittelpunkt.

Interdisziplinäre Zusammenarbeit ist ein Eckpfeiler dieser Arbeit. An der Universität Stuttgart ist Raphael Heiberger Gründungsmitglied des Interchange Forum for Reflecting on Intelligent Systems (IRIS) und leitet gemeinsame Projekte mit Kolleg:innen aus der Künstlichen Intelligenz, der Computerlinguistik und der Mensch-Computer-Interaktion. International kooperiert die Abteilung SoWi VII unter anderem mit der Stanford University, der Duke University, der University of Oxford, der Radboud University und der Central European University in Wien.

Seine Forschung wurde unter anderem durch die EU (Horizon 2020), die DFG im Rahmen der Exzellenzstrategie, das BMBF und die Alexander von Humboldt-Stiftung gefördert, als deren Feodor Lynen-Forschungsstipendiat er an der Stanford University forschte. Aktuelle Projekte fördern das Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg und die Baden-Württemberg Stiftung; zudem ist die Abteilung an einem von der US-amerikanischen National Science Foundation geförderten Projekt beteiligt.

Publikationen

2026
1. Niemann, D., Windzio, M., Heiberger, R., & Martens, K. (2026). Between niche conservatism and institutionalised expectations: how international organisations frame policies of migrant and refugee education. Comparative Education, 1–19. https://doi.org/10.1080/03050068.2026.2656036
  - BibTeX
  - Link
  BibTeX
  @article{Niemann_2026, author = {Niemann, Dennis and Windzio, Michael and Heiberger, Raphael and Martens, Kerstin}, doi = {10.1080/03050068.2026.2656036}, issn = {1360-0486}, journal = {Comparative Education}, month = {04}, pages = {1–19}, publisher = {Informa UK Limited}, title = {Between niche conservatism and institutionalised expectations: how international organisations frame policies of migrant and refugee education}, url = {http://dx.doi.org/10.1080/03050068.2026.2656036}, year = 2026 }
  Link
  http://dx.doi.org/10.1080/03050068.2026.2656036
2. Farahani, F. J., Hanke, S., Heiberger, R. H., & Staab, S. (2026). Identifying Social Group Mentions in Online Political Discussions: Ambiguity, Subjectivity, and Label Variation. Journal of Social Computing, 7, Article 1. https://doi.org/10.23919/jsc.2026.0006
  - BibTeX
  - Link
  BibTeX
  @article{Farahani_2026, author = {Farahani, Farane Jalali and Hanke, Sara and Heiberger, Raphael H. and Staab, Steffen}, doi = {10.23919/jsc.2026.0006}, issn = {2688-5255}, journal = {Journal of Social Computing}, month = {03}, number = 1, pages = {14–33}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, title = {Identifying Social Group Mentions in Online Political Discussions: Ambiguity, Subjectivity, and Label Variation}, url = {http://dx.doi.org/10.23919/JSC.2026.0006}, volume = 7, year = 2026 }
  Link
  http://dx.doi.org/10.23919/JSC.2026.0006
3. Aczel, B., Szaszi, B., Clelland, H. T., Kovacs, M., Holzmeister, F., van Ravenzwaaij, D., Schulz-Kümpel, H., Hoffmann, S., Nilsonne, G., Kosa, L., Torma, Z. A., Abdelfatah, Y., Aberson, C. L., Acar, O. A., Acem, E., Adamkovic, M., Adamovich, T., Adiasto, K., Ahnström, L., et al. (2026). Investigating the analytical robustness of the social and behavioural sciences. Nature, 652, Article 8108. https://doi.org/10.1038/s41586-025-09844-9
  Zusammenfassung
  The same dataset can be analysed in different justifiable ways to answer the same research question, potentially challenging the robustness of empirical science1--3. In this crowd initiative, we investigated the degree to which research findings in the social and behavioural sciences are contingent on analysts' choices. We examined a stratified random sample of 100 studies published between 2009 and 2018, in which, for one claim per study, at least five reanalysts independently reanalysed the original data. The statistical appropriateness of the reanalyses was assessed in peer evaluations, and the robustness indicators were inspected along a range of research characteristics and study designs. We found that 34\% of the independent reanalyses yielded the same result (within a tolerance region of ±0.05 Cohen's d) as the original report; with a four times broader tolerance region, this indicator increased to 57\%. Of the reanalyses conducted, 74\% reached the same conclusion as the original investigation, 24\% yielded no effects or inconclusive results and 2\% reported the opposite effect. This exploratory study indicates that the common single-path analyses in social and behavioural research should not be simply assumed to be robust to alternative analyses4. Therefore, we recommend the development and use of practices to explore and communicate this neglected source of uncertainty.
  BibTeX
  @article{Aczel2026, abstract = {The same dataset can be analysed in different justifiable ways to answer the same research question, potentially challenging the robustness of empirical science1--3. In this crowd initiative, we investigated the degree to which research findings in the social and behavioural sciences are contingent on analysts' choices. We examined a stratified random sample of 100 studies published between 2009 and 2018, in which, for one claim per study, at least five reanalysts independently reanalysed the original data. The statistical appropriateness of the reanalyses was assessed in peer evaluations, and the robustness indicators were inspected along a range of research characteristics and study designs. We found that 34{\%} of the independent reanalyses yielded the same result (within a tolerance region of {\textpm}0.05 Cohen's d) as the original report; with a four times broader tolerance region, this indicator increased to 57{\%}. Of the reanalyses conducted, 74{\%} reached the same conclusion as the original investigation, 24{\%} yielded no effects or inconclusive results and 2{\%} reported the opposite effect. This exploratory study indicates that the common single-path analyses in social and behavioural research should not be simply assumed to be robust to alternative analyses4. Therefore, we recommend the development and use of practices to explore and communicate this neglected source of uncertainty.}, author = {Aczel, Balazs and Szaszi, Barnabas and Clelland, Harry T. and Kovacs, Marton and Holzmeister, Felix and van Ravenzwaaij, Don and Schulz-K{\"u}mpel, Hannah and Hoffmann, Sabine and Nilsonne, Gustav and Kosa, Livia and Torma, Zoltan A. and Abdelfatah, Yousuf and Aberson, Christopher L. and Acar, Oguz A. and Acem, Ensar and Adamkovic, Matus and Adamovich, Timofey and Adiasto, Krisna and Ahnstr{\"o}m, Love and Akil, Atakan M. and Al-Busaidi, Adil S. and Al-Hoorie, Ali H. and Albers, Casper J. and Allen, Peter J. and Alsalti, Taym and Altman, Micah and Alzahawi, Shilaan and Ambrosini, Ettore and Anafinova, Saule and Anand, Rahul and Angerer, Martin and Angulo-Brunet, Ariadna and Antonietti, Alberto and Arato, Jozsef and Arenas, Andreu and Avi{\~{n}}a, Marco M. and Azevedo, Flavio and Bachl, Marko and Bago, Bence and Bahn{\'i}k, {\v{S}}t{\v{e}}p{\'a}n and Baker, Bradley J. and Balayan, Elza and Baldwin, Cassandra L. and Banai, Benjamin and Banas, Kasia and Barto{\v{s}}, Franti{\v{s}}ek and Baskin, Ernest and Bastiaansen, Jojanneke A. and Bault, Nad{\`e}ge and Bauman, Christopher W. and Beazer, Quintin H. and Behnke, Maciej and Bendixen, Theiss and Berger, Sebastian and Bernard, Anna and Bernardic, Ursa and Bloom, Paul A. and Boldt, Annika and Bosch-Rosa, Ciril and Botvinik-Nezer, Rotem and Bouyamourn, Adam and Bozkurt, Ozge and Brehm, Laurel and Breuer, Johannes and Briggs, Ryan and Brohmer, Hilmar and Buchanan, Erin and Buckenmaier, Johannes and Buckley, Jeffrey and Buczny, Jacek and Burghart, Matthias and Butt, Bilal H. and Byrd, Nick and Cafarelli, Valentina and Callahan, Patrick and Capit{\'a}n, Tabar{\'e} and Carriere, Kevin and Cataldo, Andrea M. and Cepaluni, Gabriel and Chan, Eugene and Chandler, Jesse J. and Chang, Chia-chen and Chen, Xi and Chen, Shirley Shuo and Chen, Fadong and Chen, Hao and Chirkov, Valerii and Cialfi, Daniela and Clarke, Beth and Coelho, Sophie G. and Cohen, Clara and Collins, Jason and Cook, Susan W. and Corlazzoli, Gaia and Cummins, Jamie and Czymara, Christian and D'hondt, Jonathan and Rosa, Anna Dalla and Davis, Abi M. B. and Davis, Charles P. and Day, Martin V. and De Keyzer, Freya and de Leeuw, Joshua R. and de Vries, Tjeerd Rudmer and Debnath, Ramit and Dechterenko, Filip and Demiral, Elif E. and Desgroseilliers, Marc and Dianovics, Dominik and Diveica, Veronica and Dochow-Sondershaus, Stephan and Dohle, Simone and Dong, LiChen and Dora, Jonas and Dorrough, Angela R. and Dreber, Anna and Du, Hongfei and Edlund, John E. and Eerland, Anita and Efendi{\'{c}}, Emir and Elder, Jacob and Elsherif, Mahmoud M. and Ernst, Mareike and Estrada, Eduardo and Eudave, Luis and Evans, Thomas R. and Farrera, Arodi and Ferrouhi, El Mehdi and Fiala, Lenka and Fialho, Fabr{\'i}cio M. and Fiechter, Joshua L. and Fi{\v{s}}ar, Milo{\v{s}} and Flores-Kanter, Pablo Ezequiel and Folwarczny, Micha{\l} and Fossum, Jessica L. and Franco, Vithor R. and Freichel, Ren{\'e} and Freire, Danilo and Frese, Joris and Furnas, Alexander C. and Gaebler, Johann D. and Gajary, Lisa C. and Galang, Carl Michael and Ganschow, Benjamin and Garrison, S. Mason and Gasiorowska, Agata and Ponne, Bruno Gasparotto and Gauriot, Romain and Geminiani, Alice and Geraldes, Diogo and Gernsbacher, Morton Ann and Giani, Cinzia and Glerean, Enrico and Gligori{\'{c}}, Vuka{\v{s}}in and Gnambs, Timo and Godefroidt, Am{\'e}lie and Gonz{\'a}lez-Bustamante, Basti{\'a}n and Goreis, Andreas and Graf-Vlachy, Lorenz and Grieder, Manuel and Grigoryev, Dmitry and Grinschgl, Sandra and Gr{\"u}ning, David J. and Guassi Moreira, Jo{\~a}o F. and Guichet, Cl{\'e}ment and Gurgand, Lilas and Habibnia, Hooman and Hafenbrack, Andrew C. and Hafenbr{\"a}dl, Sebastian and H{\"a}ffner, Carolin and Hagemeister, Felix and Haigh, Matthew and Hajdu, Nandor and Hajimoladarvish, Narges and Hall, Jonathan D. and Hamjediers, Maik and Hardwick, Robert M. and Harma, Mehmet and Harp, Nicholas R. and Hartvig, {\'A}ron D. and Heiberger, Raphael H. and Heim, Arthur and Hern{\ae}s, {\O}ystein and Hernaus, Dennis and Heyman, Tom and Hicks, Joshua and Hogeveen, Jeremy and H{\"o}pler, Julia and Houlihan, Sean Dae and Huber, Christoph and Hughes, Conor and Hummler, Teresa and Huth, Karoline and Ingendahl, Moritz and Ishii, Tatsunori and Isler, Ozan and Izydorczak, Kamil and Jackson, Iain R. and Jahn, Andrew and Jain, Maitri and Jakubow, Alexander and Jang, Daisung and Jang, JunHyeok and Jekel, Marc and Jia, Fanli and Jim{\'e}nez-Leal, William and Johnson, Rebecca and Jones, Alex and Jungkunz, Sebastian and Ka{\v{c}}m{\'a}r, Pavol and Kaiser, Caspar and Kalayc{\i}, Ya{\u{g}}mur and Kantorowicz, Jaroslaw and Karabulut, An{\i}l and Karch, Julian D. and Karimi-Rouzbahani, Hamid and Karl, Johannes A. and Ka{\v{z}}emekaityt{\.{e}}, Aust{\.{e}}ja and Kazlou, Aliaksandr and Kekecs, Zoltan and Kim, Jin and Kirchler, Michael H. and Kiss-Dobronyi, Bence and Klasmeier, Kai N. and Klein, Jack W. and Koba, Cemal and Ko{\l}czy{\'{n}}ska, Marta and Kolias, Pavlos and Kolouch Grabovsk{\'y}, Mat{\v{e}}j and Korbmacher, Max and Korda, {\v{Z}}iva and Kowal, Marta and Kretzschmar, Andr{\'e} and Krivoshchekov, Vladislav and Krypotos, Angelos-Miltiadis and Kubsch, Marcus and Kunisato, Yoshihiko and Lacko, David and Landwehr, Jan R. and Lange, Martin and Lee, Hongmi and Lee, Daniel and Lee, Sangil and Lemay, Edward P. and Lempert, Daniel and Leo, Andrea and Lesage, Elise and Levin, Joel M. and Li, Peng and Lin, Jing and Lindsay, Luke and Lisovoj, Daria and Liu, Meng and Liu, Sihong and Liu, Tingshu and Iacono, Sergio Lo and Lodder, Paul and L{\'o}pez-Bueno, Rub{\'e}n and Lopez-Nicolas, Ruben and Loter, Katharina and Lou, Nigel Mantou and Lovakov, Andrey and Lu, Jackson G. and Ludwig, Jonas and Luebber, Finn and Lukavsk{\'y}, Ji{\v{r}}{\'i} and Luo, Charles Q. and Lyu, Xuanyu and Maassen, Esther and M{\'a}{\v{c}}el, Martin and Mack, Michael L. and Madan, Christopher R. and M{\"a}debach, Andreas and Maffly-Kipp, Joseph and Mallinson, Daniel J. and Marchetti, Igor and Marghetis, Tyler and Marini, Matteo M. and Fages, Diego Marino and Mart{\'i}nez, Mayte and Martinoli, Mario and Masiliunas, Aidas and Massoni, S{\'e}bastien and Mathieu, Kaleb C. and Mayer, Stefan and Mayer, Duncan J. and Mayer, Maren and McCormick, Ethan M. and McDonough, Ian M. and McGowan, Amanda L. and McIntyre, Miranda M. and McKee, Paul and Meier, Armando N. and Meier, Pascal F. and Melero, Helena and Merkle, Christoph and Merz, Raphael and Michaelides, Michalis P. and Michaelsen, Patrik and Mikolajczak, Gosia}, day = 01, doi = {10.1038/s41586-025-09844-9}, issn = {1476-4687}, journal = {Nature}, month = {04}, number = 8108, pages = {135--142}, title = {Investigating the analytical robustness of the social and behavioural sciences}, url = {https://doi.org/10.1038/s41586-025-09844-9}, volume = 652, year = 2026 }
  Link
  https://doi.org/10.1038/s41586-025-09844-9
2025
1. Heiberger, R. H., Hofstra, B., & Unger, S. (2025). Professors in the media: dynamics of cumulative advantage, reputation, and gender. European Sociological Review. https://doi.org/10.1093/esr/jcaf037
  - BibTeX
  - Link
  BibTeX
  @article{Heiberger_2025, author = {Heiberger, Raphael H and Hofstra, Bas and Unger, Saïd}, doi = {10.1093/esr/jcaf037}, issn = {1468-2672}, journal = {European Sociological Review}, month = {11}, publisher = {Oxford University Press (OUP)}, title = {Professors in the media: dynamics of cumulative advantage, reputation, and gender}, url = {http://dx.doi.org/10.1093/esr/jcaf037}, year = 2025 }
  Link
  http://dx.doi.org/10.1093/esr/jcaf037
2. Erhard, L., Hanke, S., Remer, U., Falenska, A., & Heiberger, R. H. (2025). PopBERT. Detecting Populism and Its Host Ideologies in the German Bundestag. Political Analysis, 33, Article 1. https://doi.org/DOI: 10.1017/pan.2024.12
  Zusammenfassung
  The rise of populism concerns many political scientists and practitioners, yet the detection of its underlying language remains fragmentary. This paper aims to provide a reliable, valid, and scalable approach to measure populist rhetoric. For that purpose, we created an annotated dataset based on parliamentary speeches of the German Bundestag (2013–2021). Following the ideational definition of populism, we label moralizing references to “the virtuous people” or “the corrupt elite” as core dimensions of populist language. To identify, in addition, how the thin ideology of populism is “thickened,” we annotate how populist statements are attached to left-wing or right-wing host ideologies. We then train a transformer-based model (PopBERT) as a multilabel classifier to detect and quantify each dimension. A battery of validation checks reveals that the model has a strong predictive accuracy, provides high qualitative face validity, matches party rankings of expert surveys, and detects out-of-sample text snippets correctly. PopBERT enables dynamic analyses of how German-speaking politicians and parties use populist language as a strategic device. Furthermore, the annotator-level data may also be applied in cross-domain applications or to develop related classifiers.
  BibTeX
  @article{erhard2025popbert, abstract = {The rise of populism concerns many political scientists and practitioners, yet the detection of its underlying language remains fragmentary. This paper aims to provide a reliable, valid, and scalable approach to measure populist rhetoric. For that purpose, we created an annotated dataset based on parliamentary speeches of the German Bundestag (2013–2021). Following the ideational definition of populism, we label moralizing references to “the virtuous people” or “the corrupt elite” as core dimensions of populist language. To identify, in addition, how the thin ideology of populism is “thickened,” we annotate how populist statements are attached to left-wing or right-wing host ideologies. We then train a transformer-based model (PopBERT) as a multilabel classifier to detect and quantify each dimension. A battery of validation checks reveals that the model has a strong predictive accuracy, provides high qualitative face validity, matches party rankings of expert surveys, and detects out-of-sample text snippets correctly. PopBERT enables dynamic analyses of how German-speaking politicians and parties use populist language as a strategic device. Furthermore, the annotator-level data may also be applied in cross-domain applications or to develop related classifiers.}, author = {Erhard, Lukas and Hanke, Sara and Remer, Uwe and Falenska, Agnieszka and Heiberger, Raphael H.}, booktitle = {Political Analysis}, doi = {DOI: 10.1017/pan.2024.12}, issn = {10471987}, number = 1, pages = {1-17}, publisher = {Cambridge University Press}, title = {PopBERT. Detecting Populism and Its Host Ideologies in the German Bundestag}, url = {https://www.cambridge.org/core/article/popbert-detecting-populism-and-its-host-ideologies-in-the-german-bundestag/06C14C50B50D5A7AB45C4A7C8A5AD945}, volume = 33, year = 2025 }
  Link
  https://www.cambridge.org/core/article/popbert-detecting-populism-and-its-host-ideologies-in-the-german-bundestag/06C14C50B50D5A7AB45C4A7C8A5AD945
2024
1. Windzio, M., & Heiberger, R. H. (2024). The Social Ecology of Intergenerational Closure in School Class Networks. Socio-spatial Conditions of Parents’ Norm Generation and Their Effects on Students’ Interpersonal Conflicts. Social Networks. https://doi.org/10.1016/j.socnet.2021.12.009
  - Zusammenfassung
  - BibTeX
  Zusammenfassung
  In this paper, we investigate how protective effects of intergenerational closure correspond with conflict networks in school classes. Taking a multilevel ecological perspective, we also consider networks' socio-spatial conditions. In a first step, we use ERGMs to analyze the association between parental contact and students' friendship ties, i.e., intergenerational closure (IC). Then, we utilize spatial regressions to analyze direct and moderating effects of a school's neighborhood on conflicts in the 135 German class networks (N~=~3143 student measurements). In accordance with Coleman's theoretical notions, we find consistent negative effects of IC on the (standardized) density of the conflict networks. Moreover, we show that IC's impact is particularly strong in neighborhoods with a relatively high concentration of minorities. The results are in line with our theoretical considerations on multilevel network ecologies and the selective pressure of IC against conflict ties. Practically, our results provide evidence that fostering connections among parents (e.g., by implementing opportunity structures for parents to meet) might help to prevent deviating behavior in schools, especially in neighborhoods with relatively large proportions of ethnic minorities.
  BibTeX
  @article{windzioSocialEcologyIntergenerational2022, abstract = {In this paper, we investigate how protective effects of intergenerational closure correspond with conflict networks in school classes. Taking a multilevel ecological perspective, we also consider networks' socio-spatial conditions. In a first step, we use ERGMs to analyze the association between parental contact and students' friendship ties, i.e., intergenerational closure (IC). Then, we utilize spatial regressions to analyze direct and moderating effects of a school's neighborhood on conflicts in the 135 German class networks (N~=~3143 student measurements). In accordance with Coleman's theoretical notions, we find consistent negative effects of IC on the (standardized) density of the conflict networks. Moreover, we show that IC's impact is particularly strong in neighborhoods with a relatively high concentration of minorities. The results are in line with our theoretical considerations on multilevel network ecologies and the selective pressure of IC against conflict ties. Practically, our results provide evidence that fostering connections among parents (e.g., by implementing opportunity structures for parents to meet) might help to prevent deviating behavior in schools, especially in neighborhoods with relatively large proportions of ethnic minorities.}, author = {Windzio, Michael and Heiberger, Raphael H.}, doi = {10.1016/j.socnet.2021.12.009}, file = {C\:\\Users\\ac135138\\Zotero\\storage\\SYSNQLBP\\Windzio und Heiberger - 2022 - The social ecology of intergenerational closure in.pdf;C\:\\Users\\ac135138\\Zotero\\storage\\LJ9N3BHE\\S0378873321001180.html}, issn = {0378-8733}, journal = {Social Networks}, langid = {english}, month = {01}, title = {The Social Ecology of Intergenerational Closure in School Class Networks. {{Socio-spatial}} Conditions of Parents' Norm Generation and Their Effects on Students' Interpersonal Conflicts}, year = 2024 }
2. Hanke, S., Sicakkan, H. G., Wolleghem, P. G. V., & Heiberger, R. H. (2024). Policy Actors’ Struggle for Attention: The Role of Peer Networks in the Migration Discourse on Twitter (X). Nonprofit Policy Forum. https://doi.org/doi:10.1515/npf-2023-0126
  Zusammenfassung
  Policy actors (PAs) like nongovernmental organizations, political parties or governmental institutions strategically communicate on social media to gain attention and thus influence the public agenda. We argue that networks of PAs engaged in the same issues (i.e., a PA’s peer network) are crucial to attracting the interest of a broad audience. Drawing on network theory, we posit that (i) ideological homophily, and (ii) the centrality and embeddedness in a PA’s peer network increase the attention received from all Twitter (now X) users. We investigate these premises by analyzing the European migration discourse on Twitter (2014–2020). The results of our study reveal that the centrality of PAs in their peer networks and ideologically similar relations considerably increase attention from the whole Twittersphere. These findings provide strong evidence that a PA’s role in its organizational peer network on social media governs the attention received in the overall discourse.
  BibTeX
  @article{HankeSicakkanVanWolleghemHeiberger+2024, abstract = {Policy actors (PAs) like nongovernmental organizations, political parties or governmental institutions strategically communicate on social media to gain attention and thus influence the public agenda. We argue that networks of PAs engaged in the same issues (i.e., a PA’s peer network) are crucial to attracting the interest of a broad audience. Drawing on network theory, we posit that (i) ideological homophily, and (ii) the centrality and embeddedness in a PA’s peer network increase the attention received from all Twitter (now X) users. We investigate these premises by analyzing the European migration discourse on Twitter (2014–2020). The results of our study reveal that the centrality of PAs in their peer networks and ideologically similar relations considerably increase attention from the whole Twittersphere. These findings provide strong evidence that a PA’s role in its organizational peer network on social media governs the attention received in the overall discourse.}, author = {Hanke, Sara and Sicakkan, Hakan G. and Wolleghem, Pierre Georges Van and Heiberger, Raphael Heiko}, doi = {doi:10.1515/npf-2023-0126}, journal = {Nonprofit Policy Forum}, title = {Policy Actors’ Struggle for Attention: The Role of Peer Networks in the Migration Discourse on Twitter (X)}, url = {https://doi.org/10.1515/npf-2023-0126}, year = 2024 }
  Link
  https://doi.org/10.1515/npf-2023-0126
2023
1. Schwemmer, C., Unger, S., & Heiberger, R. (2023). Chapter 15: Automated image analysis for studying online behaviour. In Research Handbook on Digital Sociology (pp. 278–291). Edward Elgar Publishing. https://doi.org/10.4337/9781789906769.00023
  - BibTeX
  - Link
  BibTeX
  @incollection{schwemmer_chapter_2023, address = {Cheltenham, UK}, author = {Schwemmer, Carsten and Unger, Saïd and Heiberger, Raphael}, booktitle = {Research {Handbook} on {Digital} {Sociology}}, doi = {10.4337/9781789906769.00023}, isbn = {978-1-78990-676-9}, pages = {278 -- 291}, publisher = {Edward Elgar Publishing}, title = {Chapter 15: {Automated} image analysis for studying online behaviour}, url = {https://www.elgaronline.com/view/book/9781789906769/book-part-9781789906769-23.xml}, year = 2023 }
  Link
  https://www.elgaronline.com/view/book/9781789906769/book-part-9781789906769-23.xml
2022
1. Windzio, M., & Heiberger, R. (2022). Talking About Education: How Topics Vary Between International Organizations. In K. Martens & M. Windzio (Eds.), Global Pathways to Education : Cultural Spheres, Networks, and International Organizations (pp. 239–266). Springer International Publishing. https://doi.org/10.1007/978-3-030-78885-8_9
  - Zusammenfassung
  - BibTeX
  Zusammenfassung
  In this chapter, Raphael Heiberger and Michael Windzio examine which topics are important for major education international organization (IOs). IOs in the field of education follow different ideological paradigms in the global education discourse. Yet, it is an open question as to whether different types of IOs focus on different topics and thereby support different paradigms of education. Based on more than 1000 documents with over 40 million words published by the World Bank, UNESCO, the ILO, the OECD, ISESCO, and SEAMEO, they explore education issues addressed in this sample. Using standardized methods of quantitative text analysis and topic modeling, Heiberger and Windzio reveal that major topics found in these documents do indeed differ between the different types of organizations.
  BibTeX
  @incollection{windzioTalkingEducationHow2022, abstract = {In this chapter, Raphael Heiberger and Michael Windzio examine which topics are important for major education international organization (IOs). IOs in the field of education follow different ideological paradigms in the global education discourse. Yet, it is an open question as to whether different types of IOs focus on different topics and thereby support different paradigms of education. Based on more than 1000 documents with over 40 million words published by the World Bank, UNESCO, the ILO, the OECD, ISESCO, and SEAMEO, they explore education issues addressed in this sample. Using standardized methods of quantitative text analysis and topic modeling, Heiberger and Windzio reveal that major topics found in these documents do indeed differ between the different types of organizations.}, address = {{Cham}}, author = {Windzio, Michael and Heiberger, Raphael}, booktitle = {Global {{Pathways}} to {{Education}} : {{Cultural Spheres}}, {{Networks}}, and {{International Organizations}}}, doi = {10.1007/978-3-030-78885-8_9}, editor = {Martens, Kerstin and Windzio, Michael}, file = {C\:\\Users\\ac135138\\Zotero\\storage\\JLXTSV2X\\Windzio und Heiberger - 2022 - Talking About Education How Topics Vary Between I.pdf}, isbn = {978-3-030-78885-8}, langid = {english}, pages = {239--266}, publisher = {{Springer International Publishing}}, series = {Global {{Dynamics}} of {{Social Policy}}}, shorttitle = {Talking {{About Education}}}, title = {Talking {{About Education}}: {{How Topics Vary Between International Organizations}}}, year = 2022 }
2. Sicakkan, H. G., & Heiberger, R. H. (2022). Between Europeanism and Nativism: Exploring a Cleavage Model of European Public Sphere in Social Media. Javnost - the Public, 0, Article 0. https://doi.org/10.1080/13183222.2022.2067724
  Zusammenfassung
  The European Union’s common public sphere project dates back to the 1960s and relies on Europeanisation through the gradual eradication of communication boundaries between its member countries. However, it is evident by now that Europeanisation of national public spheres is hard to achieve by increasing overlaps between national public spheres, synchronisation of news reporting across national boundaries, or diffusion of Europeanist norms into national politics. The European Union’s common public sphere project may hence be in danger. This calls for explorations of other imaginable models of the public sphere for Europe. Are there traces of other modes of transnational public sphere emerging in Europe? In this article, we explore a models of the transnational public sphere which is based on an alternative concept of Europeanisation derived from the cleavage theory. By drawing on social media data and employing tools of social network analysis, we demonstrate the empirical possibility of a cleavage model of the European public sphere.
  BibTeX
  @article{doi:10.1080/13183222.2022.2067724, abstract = { The European Union’s common public sphere project dates back to the 1960s and relies on Europeanisation through the gradual eradication of communication boundaries between its member countries. However, it is evident by now that Europeanisation of national public spheres is hard to achieve by increasing overlaps between national public spheres, synchronisation of news reporting across national boundaries, or diffusion of Europeanist norms into national politics. The European Union’s common public sphere project may hence be in danger. This calls for explorations of other imaginable models of the public sphere for Europe. Are there traces of other modes of transnational public sphere emerging in Europe? In this article, we explore a models of the transnational public sphere which is based on an alternative concept of Europeanisation derived from the cleavage theory. By drawing on social media data and employing tools of social network analysis, we demonstrate the empirical possibility of a cleavage model of the European public sphere. }, author = {Sicakkan, Hakan G. and Heiberger, Raphael Heiko}, doi = {10.1080/13183222.2022.2067724}, eprint = {https://doi.org/10.1080/13183222.2022.2067724}, journal = {Javnost - The Public}, number = 0, pages = {1-19}, publisher = {Routledge}, title = {Between Europeanism and Nativism: Exploring a Cleavage Model of European Public Sphere in Social Media}, url = {/brokenurl# https://doi.org/10.1080/13183222.2022.2067724 }, volume = 0, year = 2022 }
  Link
  /brokenurl# https://doi.org/10.1080/13183222.2022.2067724
3. Heiberger, R. H. (2022). Applying Machine Learning in Sociology: How to Predict Gender and Reveal Research Preferences. KZfSS Kölner Zeitschrift Für Soziologie Und Sozialpsychologie. https://doi.org/10.1007/s11577-022-00839-2
  Zusammenfassung
  Applications of machine learning (ML) in industry and natural sciences yielded some of the most impactful innovations of the last decade (for instance, artificial intelligence, gene prediction or search engines) and changed the everyday-life of many people. From a methodological perspective, we can differentiate between unsupervised machine learning (UML) and supervised machine learning (SML). While SML uses labeled data as input to train algorithms in order to predict outcomes of unlabeled data, UML detects underlying patterns in unlabeled observations by exploiting the statistical properties of the data. The possibilities of ML for analyzing large datasets are slowly finding their way into the social sciences; yet, it lacks systematic introductions into the epistemologically alien subject. I present applications of some of the most common methods for SML (i.e., logistic regression) and UML (i.e., topic models). A practical example offers social scientists a ``how-to'' description for utilizing both. With regard to SML, the case is made by predicting gender of a large dataset of sociologists. The proposed approach is based on open-source data and outperforms a popular commercial application (genderize.io). Utilizing the predicted gender in topic models reveals the stark thematic differences between male and female scholars that have been widely overlooked in the literature. By applying ML, hence, the empirical results shed new light on the longstanding question of gender-specific biases in academia.
  BibTeX
  @article{Heiberger2022, abstract = {Applications of machine learning (ML) in industry and natural sciences yielded some of the most impactful innovations of the last decade (for instance, artificial intelligence, gene prediction or search engines) and changed the everyday-life of many people. From a methodological perspective, we can differentiate between unsupervised machine learning (UML) and supervised machine learning (SML). While SML uses labeled data as input to train algorithms in order to predict outcomes of unlabeled data, UML detects underlying patterns in unlabeled observations by exploiting the statistical properties of the data. The possibilities of ML for analyzing large datasets are slowly finding their way into the social sciences; yet, it lacks systematic introductions into the epistemologically alien subject. I present applications of some of the most common methods for SML (i.e., logistic regression) and UML (i.e., topic models). A practical example offers social scientists a ``how-to'' description for utilizing both. With regard to SML, the case is made by predicting gender of a large dataset of sociologists. The proposed approach is based on open-source data and outperforms a popular commercial application (genderize.io). Utilizing the predicted gender in topic models reveals the stark thematic differences between male and female scholars that have been widely overlooked in the literature. By applying ML, hence, the empirical results shed new light on the longstanding question of gender-specific biases in academia.}, author = {Heiberger, Raphael H.}, day = 19, doi = {10.1007/s11577-022-00839-2}, issn = {1861-891X}, journal = {KZfSS K{\"o}lner Zeitschrift f{\"u}r Soziologie und Sozialpsychologie}, month = {05}, title = {Applying Machine Learning in Sociology: How to Predict Gender and Reveal Research Preferences}, url = {https://doi.org/10.1007/s11577-022-00839-2}, year = 2022 }
  Link
  https://doi.org/10.1007/s11577-022-00839-2
2021
1. Wieczorek, O., Unger, S., Riebling, J., Erhard, L., Koß, C., & Heiberger, R. (2021). Mapping the field of psychology: Trends in research topics 1995–2015. Scientometrics. https://doi.org/10.1007/s11192-021-04069-9
  Zusammenfassung
  We map the topic structure of psychology utilizing a sample of over 500,000 abstracts of research articles and conference proceedings spanning two decades (1995–2015). To do so, we apply structural topic models to examine three research questions: (i) What are the discipline’s most prevalent research topics? (ii) How did the scientific discourse in psychology change over the last decades, especially since the advent of neurosciences? (iii) And was this change carried by high impact (HI) or less prestigious journals? Our results reveal that topics related to natural sciences are trending, while their ’counterparts’ leaning to humanities are declining in popularity. Those trends are even more pronounced in the leading outlets of the field. Furthermore, our findings indicate a continued interest in methodological topics accompanied by the ascent of neurosciences and related methods and technologies (e.g. fMRI’s). At the same time, other established approaches (e.g. psychoanalysis) become less popular and indicate a relative decline of topics related to the social sciences and the humanities.
  BibTeX
  @article{wieczorek_mapping_2021, abstract = {We map the topic structure of psychology utilizing a sample of over 500,000 abstracts of research articles and conference proceedings spanning two decades (1995–2015). To do so, we apply structural topic models to examine three research questions: (i) What are the discipline’s most prevalent research topics? (ii) How did the scientific discourse in psychology change over the last decades, especially since the advent of neurosciences? (iii) And was this change carried by high impact (HI) or less prestigious journals? Our results reveal that topics related to natural sciences are trending, while their ’counterparts’ leaning to humanities are declining in popularity. Those trends are even more pronounced in the leading outlets of the field. Furthermore, our findings indicate a continued interest in methodological topics accompanied by the ascent of neurosciences and related methods and technologies (e.g. fMRI’s). At the same time, other established approaches (e.g. psychoanalysis) become less popular and indicate a relative decline of topics related to the social sciences and the humanities.}, author = {Wieczorek, Oliver and Unger, Saïd and Riebling, Jan and Erhard, Lukas and Koß, Christian and Heiberger, Raphael}, doi = {10.1007/s11192-021-04069-9}, file = {Springer Full Text PDF:C\:\\Users\\ac135138\\Zotero\\storage\\MHIPIC3J\\Wieczorek et al. - 2021 - Mapping the field of psychology Trends in researc.pdf:application/pdf}, issn = {1588-2861}, journal = {Scientometrics}, language = {en}, month = {06}, shorttitle = {Mapping the field of psychology}, title = {Mapping the field of psychology: {Trends} in research topics 1995–2015}, url = {https://doi.org/10.1007/s11192-021-04069-9}, urldate = {2021-07-26}, year = 2021 }
  Link
  https://doi.org/10.1007/s11192-021-04069-9
2. Kaffai, M., & Heiberger, R. H. (2021). Modeling Non-Pharmaceutical Interventions in the COVID-19 Pandemic with Survey-Based Simulations. Plos One, 16, Article 10. https://doi.org/10.1371/journal.pone.0259108
  - Zusammenfassung
  - BibTeX
  Zusammenfassung
  Governments around the globe use non-pharmaceutical interventions (NPIs) to curb the spread of coronavirus disease 2019 (COVID-19) cases. Making decisions under uncertainty, they all face the same temporal paradox: estimating the impact of NPIs before they have been implemented. Due to the limited variance of empirical cases, researchers could so far not disentangle effects of individual NPIs or their impact on different demographic groups. In this paper, we utilize large-scale agent-based simulations in combination with Susceptible-Exposed-Infectious-Recovered (SEIR) models to investigate the spread of COVID-19 for some of the most affected federal states in Germany. In contrast to other studies, we sample agents from a representative survey. Including more realistic demographic attributes that influence agents' behavior yields accurate predictions of COVID-19 transmissions and allows us to investigate counterfactual what-if scenarios. Results show that quarantining infected people and exploiting industry-specific home office capacities are the most effective NPIs. Disentangling education-related NPIs reveals that each considered institution (kindergarten, school, university) has rather small effects on its own, yet, that combined openings would result in large increases in COVID-19 cases. Representative survey-characteristics of agents also allow us to estimate NPIs' effects on different age groups. For instance, re-opening schools would cause comparatively few infections among the risk-group of people older than 60 years.
  BibTeX
  @article{kaffaiModelingNonpharmaceuticalInterventions2021, abstract = {Governments around the globe use non-pharmaceutical interventions (NPIs) to curb the spread of coronavirus disease 2019 (COVID-19) cases. Making decisions under uncertainty, they all face the same temporal paradox: estimating the impact of NPIs before they have been implemented. Due to the limited variance of empirical cases, researchers could so far not disentangle effects of individual NPIs or their impact on different demographic groups. In this paper, we utilize large-scale agent-based simulations in combination with Susceptible-Exposed-Infectious-Recovered (SEIR) models to investigate the spread of COVID-19 for some of the most affected federal states in Germany. In contrast to other studies, we sample agents from a representative survey. Including more realistic demographic attributes that influence agents' behavior yields accurate predictions of COVID-19 transmissions and allows us to investigate counterfactual what-if scenarios. Results show that quarantining infected people and exploiting industry-specific home office capacities are the most effective NPIs. Disentangling education-related NPIs reveals that each considered institution (kindergarten, school, university) has rather small effects on its own, yet, that combined openings would result in large increases in COVID-19 cases. Representative survey-characteristics of agents also allow us to estimate NPIs' effects on different age groups. For instance, re-opening schools would cause comparatively few infections among the risk-group of people older than 60 years.}, author = {Kaffai, Marius and Heiberger, Raphael H.}, doi = {10.1371/journal.pone.0259108}, file = {C\:\\Users\\ac135138\\Zotero\\storage\\MPIYJWTF\\Kaffai und Heiberger - 2021 - Modeling non-pharmaceutical interventions in the C.pdf;C\:\\Users\\ac135138\\Zotero\\storage\\SVUV5Z7Z\\article.html}, issn = {1932-6203}, journal = {PLOS ONE}, langid = {english}, month = {10}, number = 10, pages = {e0259108}, publisher = {{Public Library of Science}}, title = {Modeling Non-Pharmaceutical Interventions in the {{COVID-19}} Pandemic with Survey-Based Simulations}, volume = 16, year = 2021 }
3. Heiberger, R. H., Munoz-Najar Galvez, S., & McFarland, D. A. (2021). Facets of Specialization and Its Relation to Career Success: An Analysis of U.S. Sociology, 1980 to 2015. American Sociological Review, 86, Article 5. https://doi.org/10.1177/00031224211056267
  - Zusammenfassung
  - BibTeX
  Zusammenfassung
  We investigate how sociology students garner recognition from niche field audiences through specialization. Our dataset comprises over 80,000 sociology-related dissertations completed at U.S. universities, as well as data on graduates’ pursuant publications. We analyze different facets of how students specialize—topic choice, focus, novelty, and consistency. To measure specialization types within a consistent methodological frame, we utilize structural topic modeling. These measures capture specialization strategies used at an early career stage. We connect them to a crucial long-term outcome in academia: becoming an advisor. Event-history models reveal that specific topic choices and novel combinations exhibit a positive influence, whereas focused theses make no substantial difference. In particular, theses related to the cultural turn, methods, or race are tied to academic careers that lead to mentorship. Thematic consistency of students’ publication track also has a strong positive effect on the chances of becoming an advisor. Yet, there are diminishing returns to consistency for highly productive scholars, adding important nuance to the well-known imperative of publish or perish in academic careers.
  BibTeX
  @article{heibergerFacetsSpecializationIts2021, abstract = {We investigate how sociology students garner recognition from niche field audiences through specialization. Our dataset comprises over 80,000 sociology-related dissertations completed at U.S. universities, as well as data on graduates’ pursuant publications. We analyze different facets of how students specialize—topic choice, focus, novelty, and consistency. To measure specialization types within a consistent methodological frame, we utilize structural topic modeling. These measures capture specialization strategies used at an early career stage. We connect them to a crucial long-term outcome in academia: becoming an advisor. Event-history models reveal that specific topic choices and novel combinations exhibit a positive influence, whereas focused theses make no substantial difference. In particular, theses related to the cultural turn, methods, or race are tied to academic careers that lead to mentorship. Thematic consistency of students’ publication track also has a strong positive effect on the chances of becoming an advisor. Yet, there are diminishing returns to consistency for highly productive scholars, adding important nuance to the well-known imperative of publish or perish in academic careers.}, author = {Heiberger, Raphael H. and {Munoz-Najar Galvez}, Sebastian and McFarland, Daniel A.}, doi = {https://doi.org/10.1177/00031224211056267}, journal = {American Sociological Review}, number = 5, title = {Facets of {{Specialization}} and {{Its Relation}} to {{Career Success}}: {{An Analysis}} of {{U}}.{{S}}. {{Sociology}}, 1980 to 2015}, volume = 86, year = 2021 }
4. Heiberger, R. H., & Muñoz-Najar Galvez, S. (2021). Text Mining and Topic Modelling. In Handbook of Computational Social Science. Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9781003025245-24/text-mining-topic-modeling-raphael-heiberger-sebastian-munoz-najar-galvez?context=ubx&refId=fb133dd5-e885-4910-b6e6-0248511435d6
  Zusammenfassung
  Working with text poses important conceptual and methodological challenges. Topic models are a popular tool to reduce texts’ complexity and find meaningful themes in large corpora. After an overview of existing work, we explain how to employ structural topic models, one of the variations of topic modeling of most relevance to social researchers. In particular, however, this chapter emphasizes the selection of an appropriate number of topics K and its relation to preprocessing. We investigate the influence of preprocessing decisions on (i) the choice of K and (ii) the quality of a topic model (i.e., its predictive power and consistency). For that purpose, we examine a multitude of model setups by employing both established metrics and innovative measures. From our empirical results, we derive several practical recommendations for researchers and provide easy-to-use code to approximate an appropriate number of topics and test the robustness of one’s choice. We develop these arguments with comprehensive data on over 137,000 education-related dissertations completed at U.S. universities.
  BibTeX
  @incollection{heibergerTextMiningTopic2021, abstract = {Working with text poses important conceptual and methodological challenges. Topic models are a popular tool to reduce texts’ complexity and find meaningful themes in large corpora. After an overview of existing work, we explain how to employ structural topic models, one of the variations of topic modeling of most relevance to social researchers. In particular, however, this chapter emphasizes the selection of an appropriate number of topics K and its relation to preprocessing. We investigate the influence of preprocessing decisions on (i) the choice of K and (ii) the quality of a topic model (i.e., its predictive power and consistency). For that purpose, we examine a multitude of model setups by employing both established metrics and innovative measures. From our empirical results, we derive several practical recommendations for researchers and provide easy-to-use code to approximate an appropriate number of topics and test the robustness of one’s choice. We develop these arguments with comprehensive data on over 137,000 education-related dissertations completed at U.S. universities.}, address = {{London}}, author = {Heiberger, Raphael H. and {Mu{\~n}oz-Najar Galvez}, Sebastian}, booktitle = {Handbook of {{Computational Social Science}}}, publisher = {{Routledge}}, series = {Data {{Science}}, {{Statistical Modelling}}, and {{Machine Learning Methods}}}, title = {Text Mining and Topic Modelling}, url = {https://www.taylorfrancis.com/chapters/edit/10.4324/9781003025245-24/text-mining-topic-modeling-raphael-heiberger-sebastian-munoz-najar-galvez?context=ubx&refId=fb133dd5-e885-4910-b6e6-0248511435d6}, year = 2021 }
  Link
  https://www.taylorfrancis.com/chapters/edit/10.4324/9781003025245-24/text-mining-topic-modeling-raphael-heiberger-sebastian-munoz-najar-galvez?context=ubx&refId=fb133dd5-e885-4910-b6e6-0248511435d6
5. Heiberger, R., Majó-Vázquez, S., Castro Herrero, L., Nielsen, R. K., & Esser, F. (2021). Do Not Blame the Media! The Role of Politicians and Parties in Fragmenting Online Political Debate. The International Journal of Press/Politics, 19401612211015122. https://doi.org/10.1177/19401612211015122
  Zusammenfassung
  Democratic politics builds on both clear differences and shared common ground. While the rise of digital media may have enabled more differences to be articulated, common ground is often seen as threatened by fragmentation of political debate, which some see as driven by news media. The relative importance of political actors (parties and politicians) in driving fragmentation has received less attention. In this paper, we compare how news media and political actors contribute to the fragmentation of online political debate on the basis of analysis of almost half a million election-related tweets collected during the 2017 French, German, and U.K. national elections. We employ a structural topic model to reduce online political debate to networks of topic overlap. Across the three countries with different political and media systems, we find news media are by far the most important actors in terms of creating and maintaining a common space of online political debate on Twitter. Our results also show that political actors, with some variation from country to country, contribute more to fragmentation as they focus on different topics while articulating clear differences. These findings underline the importance of complementing structural analysis of the rise of digital and social media with analysis of how important elite actors like news media and political parties/candidates use these media in different ways. Overall, we show how at least on Twitter, across three different countries with different media systems and political systems, news media create connection that contributes to commonality while political actors lay out clear differences that drive fragmentation.
  BibTeX
  @article{heiberger_not_2021, abstract = {Democratic politics builds on both clear differences and shared common ground. While the rise of digital media may have enabled more differences to be articulated, common ground is often seen as threatened by fragmentation of political debate, which some see as driven by news media. The relative importance of political actors (parties and politicians) in driving fragmentation has received less attention. In this paper, we compare how news media and political actors contribute to the fragmentation of online political debate on the basis of analysis of almost half a million election-related tweets collected during the 2017 French, German, and U.K. national elections. We employ a structural topic model to reduce online political debate to networks of topic overlap. Across the three countries with different political and media systems, we find news media are by far the most important actors in terms of creating and maintaining a common space of online political debate on Twitter. Our results also show that political actors, with some variation from country to country, contribute more to fragmentation as they focus on different topics while articulating clear differences. These findings underline the importance of complementing structural analysis of the rise of digital and social media with analysis of how important elite actors like news media and political parties/candidates use these media in different ways. Overall, we show how at least on Twitter, across three different countries with different media systems and political systems, news media create connection that contributes to commonality while political actors lay out clear differences that drive fragmentation.}, author = {Heiberger, Raphael and Majó-Vázquez, Silvia and Castro Herrero, Laia and Nielsen, Rasmus K. and Esser, Frank}, doi = {10.1177/19401612211015122}, file = {SAGE PDF Full Text:C\:\\Users\\ac135138\\Zotero\\storage\\QFMKCG9G\\Heiberger et al. - 2021 - Do Not Blame the Media! The Role of Politicians an.pdf:application/pdf}, issn = {1940-1612}, journal = {The International Journal of Press/Politics}, language = {en}, month = {06}, note = {Publisher: SAGE Publications Inc}, pages = 19401612211015122, title = {Do {Not} {Blame} the {Media}! {The} {Role} of {Politicians} and {Parties} in {Fragmenting} {Online} {Political} {Debate}}, url = {https://doi.org/10.1177/19401612211015122}, urldate = {2021-07-26}, year = 2021 }
  Link
  https://doi.org/10.1177/19401612211015122
6. Erhard, L., Heiberger, R. H., & Windzio, M. (2021). Diverse Effects of Mass Media on Concerns about Immigration: New Evidence from Germany, 20012016. European Sociological Review, jcab063. https://doi.org/10.1093/esr/jcab063
  - Zusammenfassung
  - BibTeX
  Zusammenfassung
  Media discourse is often seen as an important condition of people's attitudes and perceptions. Despite a rich literature, however, it is not well understood how media exposure influences attitudes towards immigrants. In contrast to previous studies, we argue that people rely on `availability heuristics' shaped by mass media. From that point of view, it is the specific content of media discourse on immigration that affects people's concerns. We use structural topic models to classify media content of more than 24,000 articles of leading German newspapers from 2001 to 2016. Utilizing linear fixed-effects models allows us to relate a person's concern towards immigration, as reported in the German Socioeconomic Panel, to prevalent topics discussed in print media while controlling for several confounding factors (e.g., party preferences, interest in politics, etc.). We find a robust relationship between topic salience and attitudes towards integration. Our results reveal that specific topics with negative contents (e.g., domestic violence) increase concerns, while others (e.g., scientific studies, soccer) decrease concerns substantially, underlining the importance of available information provided by media. In addition, people with higher education are generally less affected by media salience of topics.
  BibTeX
  @article{erhardDiverseEffectsMass2021, abstract = {Media discourse is often seen as an important condition of people's attitudes and perceptions. Despite a rich literature, however, it is not well understood how media exposure influences attitudes towards immigrants. In contrast to previous studies, we argue that people rely on `availability heuristics' shaped by mass media. From that point of view, it is the specific content of media discourse on immigration that affects people's concerns. We use structural topic models to classify media content of more than 24,000 articles of leading German newspapers from 2001 to 2016. Utilizing linear fixed-effects models allows us to relate a person's concern towards immigration, as reported in the German Socioeconomic Panel, to prevalent topics discussed in print media while controlling for several confounding factors (e.g., party preferences, interest in politics, etc.). We find a robust relationship between topic salience and attitudes towards integration. Our results reveal that specific topics with negative contents (e.g., domestic violence) increase concerns, while others (e.g., scientific studies, soccer) decrease concerns substantially, underlining the importance of available information provided by media. In addition, people with higher education are generally less affected by media salience of topics.}, author = {Erhard, Lukas and Heiberger, Raphael H and Windzio, Michael}, doi = {10.1093/esr/jcab063}, file = {C\:\\Users\\ac135138\\Zotero\\storage\\2ZPNBZFK\\6469635.html}, issn = {0266-7215}, journal = {European Sociological Review}, month = {12}, pages = {jcab063}, shorttitle = {Diverse {{Effects}} of {{Mass Media}} on {{Concerns}} about {{Immigration}}}, title = {Diverse {{Effects}} of {{Mass Media}} on {{Concerns}} about {{Immigration}}: {{New Evidence}} from {{Germany}}, 2001\textendash 2016}, year = 2021 }
2020
1. Camarasa, C., Heiberger, R., Hennes, L., Jakob, M., Ostermeyer, Y., & Rosado, L. (2020). Key Decision-Makers and Persuaders in the Selection of Energy-Efficient Technologies in EU Residential Buildings. Buildings, 10, Article 4. https://doi.org/10.3390/buildings10040070
  Zusammenfassung
  With regard to residential energy use in the European Union (EU), most studies consider potential adopters of the technology (e.g., private owners) as being the sole decision-makers in the technology selection. However, during an integrated decision-making process (e.g., a construction project) multiple stakeholders will interact, influencing each other’s judgement, thereby making it difficult to discern who is affecting the final decision, and to what extent. The goal of this study is to outline the full network of stakeholders involved in the decision-making process, along with their degree of power and interaction in the technology choice. For this purpose, empirical evidence from a multi-country survey is examined using social network analysis (SNA). The information is compared across building typologies, project types and countries (i.e., Italy, Spain, Germany, Poland, the United Kingdom, France, Belgium and the Netherlands). The results demonstrate that, in EU residential buildings, potential adopters of the technology are not the only stakeholders involved in the technology selection. They are in all instances in communication with multiple stakeholders, some of whom also hold a high level of power in the decision (i.e., key persuaders). Furthermore, their level of power and communication varies substantially across building typologies, project types and countries.
  BibTeX
  @article{camarasa_key_2020, abstract = {With regard to residential energy use in the European Union (EU), most studies consider potential adopters of the technology (e.g., private owners) as being the sole decision-makers in the technology selection. However, during an integrated decision-making process (e.g., a construction project) multiple stakeholders will interact, influencing each other\’s judgement, thereby making it difficult to discern who is affecting the final decision, and to what extent. The goal of this study is to outline the full network of stakeholders involved in the decision-making process, along with their degree of power and interaction in the technology choice. For this purpose, empirical evidence from a multi-country survey is examined using social network analysis (SNA). The information is compared across building typologies, project types and countries (i.e., Italy, Spain, Germany, Poland, the United Kingdom, France, Belgium and the Netherlands). The results demonstrate that, in EU residential buildings, potential adopters of the technology are not the only stakeholders involved in the technology selection. They are in all instances in communication with multiple stakeholders, some of whom also hold a high level of power in the decision (i.e., key persuaders). Furthermore, their level of power and communication varies substantially across building typologies, project types and countries.}, author = {Camarasa, Clara and Heiberger, Raphael and Hennes, Lena and Jakob, Martin and Ostermeyer, York and Rosado, Leonardo}, copyright = {http://creativecommons.org/licenses/by/3.0/}, doi = {10.3390/buildings10040070}, file = {Full Text PDF:C\:\\Users\\ac135138\\Zotero\\storage\\UREWGKYW\\Camarasa et al. - 2020 - Key Decision-Makers and Persuaders in the Selectio.pdf:application/pdf;Snapshot:C\:\\Users\\ac135138\\Zotero\\storage\\W4EWY7Z2\\70.html:text/html}, journal = {Buildings}, language = {en}, month = {04}, number = 4, pages = 70, title = {Key {Decision}-{Makers} and {Persuaders} in the {Selection} of {Energy}-{Efficient} {Technologies} in {EU} {Residential} {Buildings}}, url = {https://www.mdpi.com/2075-5309/10/4/70}, urldate = {2020-04-27}, volume = 10, year = 2020 }
  Link
  https://www.mdpi.com/2075-5309/10/4/70
2019
1. Munoz-Najar Galvez, S., Heiberger, R., & McFarland, D. (2019). Paradigm Wars Revisited: A Cartography of Graduate Research in the Field of Education (1980–2010). American Educational Research Journal, 57, Article 2. https://doi.org/10.3102/0002831219860511
  Zusammenfassung
  Education entails conflicting perspectives about its subject matter. In the late 1980s, the conflict developed into a war between interpretive and causal paradigms. Did the confrontation result in a balance between these warring sides? We use text analysis to identify research trends in 137,024 dissertation abstracts from 1980 to 2010 and relate these to students’ academic employment outcomes. Topics associated with the interpretive approach rose in popularity, while the outcomes-oriented paradigm declined. Academic employment remained stably associated with topics in the interpretive approach, but their effect is moderated by the prestige of the students’ institutions. The relation between topic popularity and employability provides insight into field change and how the benefits of cultural shifts fall along the lines of institutional power.
  BibTeX
  @article{munoz-najar_galvez_paradigm_2019, abstract = {Education entails conflicting perspectives about its subject matter. In the late 1980s, the conflict developed into a war between interpretive and causal paradigms. Did the confrontation result in a balance between these warring sides? We use text analysis to identify research trends in 137,024 dissertation abstracts from 1980 to 2010 and relate these to students’ academic employment outcomes. Topics associated with the interpretive approach rose in popularity, while the outcomes-oriented paradigm declined. Academic employment remained stably associated with topics in the interpretive approach, but their effect is moderated by the prestige of the students’ institutions. The relation between topic popularity and employability provides insight into field change and how the benefits of cultural shifts fall along the lines of institutional power.}, author = {Munoz-Najar Galvez, Sebastian and Heiberger, Raphael and McFarland, Daniel}, doi = {10.3102/0002831219860511}, file = {SAGE PDF Full Text:C\:\\Users\\ac135138\\Zotero\\storage\\JUR4VFZQ\\Munoz-Najar Galvez et al. - 2019 - Paradigm Wars Revisited A Cartography of Graduate.pdf:application/pdf}, issn = {0002-8312}, journal = {American Educational Research Journal}, language = {en}, month = {07}, number = 2, pages = {612--652}, shorttitle = {Paradigm {Wars} {Revisited}}, title = {Paradigm {Wars} {Revisited}: {A} {Cartography} of {Graduate} {Research} in the {Field} of {Education} (1980–2010)}, url = {https://doi.org/10.3102/0002831219860511}, urldate = {2019-09-25}, volume = 57, year = 2019 }
  Link
  https://doi.org/10.3102/0002831219860511
2. Kibanov, M., Heiberger, R. H., Rödder, S., Atzmueller, M., & Stumme, G. (2019). Social studies of scholarly life with sensor-based ethnographic observations. Scientometrics, 119, Article 3. https://doi.org/10.1007/s11192-019-03097-w
  Zusammenfassung
  Social network analysis is playing an increasingly important role in sociological studies. At the same time, new technologies such as wearable sensors make it possible to collect new types of social network data. We employed RFID tags to capture face-to-face interactions of participants of two consecutive Ph.D. retreats of a graduate school on climate research. We use this data in order to explore how it may support ethnographic observations and to gain further insights on scholarly interactions. The unique feature of the data is the opportunity to distinguish short and long conversations, which often have a different nature from a sociological point of view. Furthermore, an advantage of this data is the availability of socio-demographic, research-related, and situational attributes of participants. We show that, even though an interaction partner is often found rather randomly during coffee breaks of retreats, a strong homophily between participants from the same institutions or research areas exists. We identify cores of the networks and participants who play ambassador roles between communities, e.g., persons who visit the retreat for the second time are more likely to be ambassadors. Overall, we show the usefulness and potential of RFID tags for scientometric studies.
  BibTeX
  @article{kibanov_social_2019, abstract = {Social network analysis is playing an increasingly important role in sociological studies. At the same time, new technologies such as wearable sensors make it possible to collect new types of social network data. We employed RFID tags to capture face-to-face interactions of participants of two consecutive Ph.D. retreats of a graduate school on climate research. We use this data in order to explore how it may support ethnographic observations and to gain further insights on scholarly interactions. The unique feature of the data is the opportunity to distinguish short and long conversations, which often have a different nature from a sociological point of view. Furthermore, an advantage of this data is the availability of socio-demographic, research-related, and situational attributes of participants. We show that, even though an interaction partner is often found rather randomly during coffee breaks of retreats, a strong homophily between participants from the same institutions or research areas exists. We identify cores of the networks and participants who play ambassador roles between communities, e.g., persons who visit the retreat for the second time are more likely to be ambassadors. Overall, we show the usefulness and potential of RFID tags for scientometric studies.}, author = {Kibanov, Mark and Heiberger, Raphael H. and Rödder, Simone and Atzmueller, Martin and Stumme, Gerd}, doi = {10.1007/s11192-019-03097-w}, file = {Springer Full Text PDF:C\:\\Users\\ac135138\\Zotero\\storage\\JMMMXD8D\\Kibanov et al. - 2019 - Social studies of scholarly life with sensor-based.pdf:application/pdf}, issn = {1588-2861}, journal = {Scientometrics}, language = {en}, month = {06}, number = 3, pages = {1387--1428}, title = {Social studies of scholarly life with sensor-based ethnographic observations}, url = {https://doi.org/10.1007/s11192-019-03097-w}, urldate = {2019-07-08}, volume = 119, year = 2019 }
  Link
  https://doi.org/10.1007/s11192-019-03097-w
3. Heiberger, R. H., & Schmitz, A. (2019). Zur globalen Einbettung nationaler Schuldennetzwerke. In J. Fuhse & K. Krenn (eds.), Netzwerke in gesellschaftlichen Feldern (pp. 249–274). Springer Fachmedien. https://doi.org/10.1007/978-3-658-22215-4_10
  Zusammenfassung
  In diesem Beitrag betrachten wir die Einbettung des internationalen „Debt Security“-Marktes (DSM) in gesellschaftliche Teilbereiche aus einer feldtheoretischen Perspektive. Der DSM ist einer der größten Finanzmärkte und versorgt Staaten, Unternehmen und Banken mit Liquidität. Spätestens seit der letzten Finanzkrise ist klar geworden, dass eine rein wirtschaftswissenschaftliche Analyse von Finanzmärkten zu kurz greift und wichtige soziale Korrelate unberücksichtigt lässt. Aus diesem Grund untersuchen wir die Schuldverhältnisse aus einer netzwerkanalytischen Perspektive, berücksichtigen zugleich jedoch auch deren strukturelle Bedingungen und Voraussetzungen in Form von relationalen Einbettungsverhältnissen in einen globalen Sozialraum. Hierzu werden die aus den Schuldbeziehungen des DSM resultierenden Netzwerkpositionen mittels geometrischer Datenanalysen in ihrem Korrespondenzverhältnis zu sozialen Feldern und zu einem globalen Feld der Macht lokalisiert. Es zeigt sich, dass der DSM eng mit verschiedenen extraökonomischen Einflussbedingungen verwoben ist (etwa Militär, Rechtssicherheit, Wissenschaft, etc.) und sich dabei – wie der gesamte globale Sozialraum – durch feldübergreifend akkumulierende Vorteilsmechanismen auszeichnet.
  BibTeX
  @incollection{heiberger_zur_2019, abstract = {In diesem Beitrag betrachten wir die Einbettung des internationalen „Debt Security“-Marktes (DSM) in gesellschaftliche Teilbereiche aus einer feldtheoretischen Perspektive. Der DSM ist einer der größten Finanzmärkte und versorgt Staaten, Unternehmen und Banken mit Liquidität. Spätestens seit der letzten Finanzkrise ist klar geworden, dass eine rein wirtschaftswissenschaftliche Analyse von Finanzmärkten zu kurz greift und wichtige soziale Korrelate unberücksichtigt lässt. Aus diesem Grund untersuchen wir die Schuldverhältnisse aus einer netzwerkanalytischen Perspektive, berücksichtigen zugleich jedoch auch deren strukturelle Bedingungen und Voraussetzungen in Form von relationalen Einbettungsverhältnissen in einen globalen Sozialraum. Hierzu werden die aus den Schuldbeziehungen des DSM resultierenden Netzwerkpositionen mittels geometrischer Datenanalysen in ihrem Korrespondenzverhältnis zu sozialen Feldern und zu einem globalen Feld der Macht lokalisiert. Es zeigt sich, dass der DSM eng mit verschiedenen extraökonomischen Einflussbedingungen verwoben ist (etwa Militär, Rechtssicherheit, Wissenschaft, etc.) und sich dabei – wie der gesamte globale Sozialraum – durch feldübergreifend akkumulierende Vorteilsmechanismen auszeichnet.}, address = {Wiesbaden}, author = {Heiberger, Raphael H. and Schmitz, Andreas}, booktitle = {Netzwerke in gesellschaftlichen {Feldern}}, doi = {10.1007/978-3-658-22215-4_10}, editor = {Fuhse, Jan and Krenn, Karoline}, isbn = {978-3-658-22215-4}, language = {de}, pages = {249--274}, publisher = {Springer Fachmedien}, series = {Netzwerkforschung}, title = {Zur globalen {Einbettung} nationaler {Schuldennetzwerke}}, url = {https://doi.org/10.1007/978-3-658-22215-4_10}, urldate = {2020-05-04}, year = 2019 }
  Link
  https://doi.org/10.1007/978-3-658-22215-4_10
4. Breure, A. S. H., & Heiberger, R. H. (2019). Reconstructing science networks from the past. Journal of Historical Network Research, 3, Article 1. https://doi.org/10.25517/jhnr.v3i1.52
  Zusammenfassung
  Reconstructing scientific networks from the past can be a difficult process. In this paper, we argue that eponyms are a promising way to explore historic relationships between natural scientists using taxonomy. Our empirical case is the emerging community of malacologists in the 19th century. Along the lines of pivotal concepts of social network analysis we interpret eponyms as immaterial goods that resemble the proporties of regular social contacts. Utilising Exponential Random Graph Models reveals that the social exchange underlying eponyms follows similar rules as other social relationships such as friendships or collaborations. It is generally characterized by network endogenous structures and homophily. Interestingly, the productivity of authors seems to be well recognised among contemporary researchers and increases the probability of a tie within the network significantly. In addition, we observe an epistemological divide in the malacological research community. Thus even in the 19th century, at a time when science was just emerging as a differentiated social system, epistemological distinctions have been a defining concept for scientific contacts.
  BibTeX
  @article{breure_reconstructing_2019, abstract = {Reconstructing scientific networks from the past can be a difficult process. In this paper, we argue that eponyms are a promising way to explore historic relationships between natural scientists using taxonomy. Our empirical case is the emerging community of malacologists in the 19th century. Along the lines of pivotal concepts of social network analysis we interpret eponyms as immaterial goods that resemble the proporties of regular social contacts. Utilising Exponential Random Graph Models reveals that the social exchange underlying eponyms follows similar rules as other social relationships such as friendships or collaborations. It is generally characterized by network endogenous structures and homophily. Interestingly, the productivity of authors seems to be well recognised among contemporary researchers and increases the probability of a tie within the network significantly. In addition, we observe an epistemological divide in the malacological research community. Thus even in the 19th century, at a time when science was just emerging as a differentiated social system, epistemological distinctions have been a defining concept for scientific contacts.}, author = {Breure, Abraham S. H. and Heiberger, Raphael Heiko}, copyright = {Copyright (c) 2019 Raphael Heiko Heiberger, Abraham S.H. Breure}, doi = {10.25517/jhnr.v3i1.52}, file = {Full Text PDF:C\:\\Users\\ac135138\\Zotero\\storage\\DECRAVWC\\Breure und Heiberger - 2019 - Reconstructing science networks from the past.pdf:application/pdf;Snapshot:C\:\\Users\\ac135138\\Zotero\\storage\\FZZBKKY8\\52.html:text/html}, issn = {2535-8863}, journal = {Journal of Historical Network Research}, language = {en}, month = {11}, number = 1, pages = {92--117}, title = {Reconstructing science networks from the past}, url = {/brokenurl#//jhnr.uni.lu/index.php/jhnr/article/view/52}, urldate = {2020-04-27}, volume = 3, year = 2019 }
  Link
  /brokenurl#//jhnr.uni.lu/index.php/jhnr/article/view/52
2018
1. Heiberger, R. H., & Koss, C. (2018). Computerlinguistische Textanalyse und Debatten im Parlament. In J. Brichzin, D. Krichewsky, L. Ringel, & J. Schank (eds.), Soziologie der Parlamente: Neue Wege der politischen Institutionenforschung (pp. 391–418). Springer Fachmedien. https://doi.org/10.1007/978-3-658-19945-6_15
  Zusammenfassung
  Das Ziel dieses Beitrags ist es eine computergestützte Methode zur Identifizierung von parteispezifischen politischen Themen und Trends im Zeitverlauf vorzustellen und deren Nützlichkeit zu demonstrieren. Als Datengrundlage dienen die Plenarsitzungen und die darin enthaltenen Debatten der Mitglieder des Bundestages von 1990 bis 2013. Zur Aggregation der Daten wurde die Latent Dirichlet Allocation, eine gängige Methode für Topic Modeling in der quantitativen Textanalyse, verwendet. Eine Modifikation der Methode erlaubt das Finden und einen Vergleich von Themen und Trends über die jeweiligen Legislaturperioden hinweg, d. h. wie populär bestimmte Themen im Bundestag besetzt werden. Mit der Auswertung der Ergebnisse wird gezeigt, dass diese Vorgehensweise relevante Rückschlüsse über lange Zeiträume Bundespolitik zulässt. Die Reduktion von Texten auf Themen und Trends bietet großes Potential für weitere Anwendungsgebiete mit großen Textmengen, es wird allerdings auch kritisch auf die Möglichkeiten und Grenzen der Methode eingegangen.
  BibTeX
  @incollection{heiberger_computerlinguistische_2018, abstract = {Das Ziel dieses Beitrags ist es eine computergestützte Methode zur Identifizierung von parteispezifischen politischen Themen und Trends im Zeitverlauf vorzustellen und deren Nützlichkeit zu demonstrieren. Als Datengrundlage dienen die Plenarsitzungen und die darin enthaltenen Debatten der Mitglieder des Bundestages von 1990 bis 2013. Zur Aggregation der Daten wurde die Latent Dirichlet Allocation, eine gängige Methode für Topic Modeling in der quantitativen Textanalyse, verwendet. Eine Modifikation der Methode erlaubt das Finden und einen Vergleich von Themen und Trends über die jeweiligen Legislaturperioden hinweg, d. h. wie populär bestimmte Themen im Bundestag besetzt werden. Mit der Auswertung der Ergebnisse wird gezeigt, dass diese Vorgehensweise relevante Rückschlüsse über lange Zeiträume Bundespolitik zulässt. Die Reduktion von Texten auf Themen und Trends bietet großes Potential für weitere Anwendungsgebiete mit großen Textmengen, es wird allerdings auch kritisch auf die Möglichkeiten und Grenzen der Methode eingegangen.}, address = {Wiesbaden}, author = {Heiberger, Raphael H. and Koss, Christian}, booktitle = {Soziologie der {Parlamente}: {Neue} {Wege} der politischen {Institutionenforschung}}, doi = {10.1007/978-3-658-19945-6_15}, editor = {Brichzin, Jenni and Krichewsky, Damien and Ringel, Leopold and Schank, Jan}, isbn = {978-3-658-19945-6}, language = {de}, pages = {391--418}, publisher = {Springer Fachmedien}, series = {Politische {Soziologie}}, title = {Computerlinguistische {Textanalyse} und {Debatten} im {Parlament}}, url = {https://doi.org/10.1007/978-3-658-19945-6_15}, urldate = {2020-05-04}, year = 2018 }
  Link
  https://doi.org/10.1007/978-3-658-19945-6_15
2. Heiberger, R. H. (2018). Predicting economic growth with stock networks. Physica A: Statistical Mechanics and Its Applications, 489, 102–111. https://doi.org/10.1016/j.physa.2017.07.022
  Zusammenfassung
  Networks derived from stock prices are often used to model developments on financial markets and are tightly intertwined with crises. Yet, the influence of changing market topologies on the broader economy (i.e. GDP) is unclear. In this paper, we propose a Bayesian approach that utilizes individual-level network measures of companies as lagged probabilistic features to predict national economic growth. We use a comprehensive data set consisting of Standard and Poor’s 500 corporations from January 1988 until October 2016. The final model forecasts correctly all major recession and prosperity phases of the U.S. economy up to one year ahead. By employing different network measures on the level of corporations, we can also identify which companies’ stocks possess a key role in a changing economic environment and may be used as indication of critical (and prosperous) developments. More generally, the proposed approach allows to predict probabilities for different overall states of social entities by using local network positions and could be applied on various phenomena.
  BibTeX
  @article{heiberger_predicting_2018, abstract = {Networks derived from stock prices are often used to model developments on financial markets and are tightly intertwined with crises. Yet, the influence of changing market topologies on the broader economy (i.e. GDP) is unclear. In this paper, we propose a Bayesian approach that utilizes individual-level network measures of companies as lagged probabilistic features to predict national economic growth. We use a comprehensive data set consisting of Standard and Poor’s 500 corporations from January 1988 until October 2016. The final model forecasts correctly all major recession and prosperity phases of the U.S. economy up to one year ahead. By employing different network measures on the level of corporations, we can also identify which companies’ stocks possess a key role in a changing economic environment and may be used as indication of critical (and prosperous) developments. More generally, the proposed approach allows to predict probabilities for different overall states of social entities by using local network positions and could be applied on various phenomena.}, author = {Heiberger, Raphael H.}, doi = {10.1016/j.physa.2017.07.022}, file = {Heiberger - 2018 - Predicting economic growth with stock networks.pdf:C\:\\Users\\ac135138\\Zotero\\storage\\CZJFW65A\\Heiberger - 2018 - Predicting economic growth with stock networks.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\ac135138\\Zotero\\storage\\22DU9NNX\\S0378437117307100.html:text/html}, issn = {0378-4371}, journal = {Physica A: Statistical Mechanics and its Applications}, month = {01}, pages = {102--111}, title = {Predicting economic growth with stock networks}, url = {http://www.sciencedirect.com/science/article/pii/S0378437117307100}, urldate = {2018-01-16}, volume = 489, year = 2018 }
  Link
  http://www.sciencedirect.com/science/article/pii/S0378437117307100
2017
1. Heiberger, R. H., Schwarzer, B., & Riebling, J. R. (2017). Eine Frage des Marktes? Regionale Unterschiede von Heimentgelten stationärer Pflegeeinrichtungen. Berliner Journal für Soziologie, 27, Article 2. https://doi.org/10.1007/s11609-017-0341-7
  Zusammenfassung
  Heimentgelte stationärer Pflegeeinrichtungen sind in Deutschland von einer hohen regionalen Varianz gekennzeichnet. Vor dem Hintergrund einer marktorientierten Ausgestaltung des Pflegesektors durch die Gesetzliche Pflegeversicherung und der damit einhergehenden Reproduktion sozialer Ungleichheiten untersucht die vorliegende Studie, welche Erklärungsfaktoren diese regionalen Preisunterschiede bedingen. Dazu wird der Einfluss von vier Variablengruppen – die sozioökonomischen Rahmenbedingungen einer Region, ihre Pflegeinfrastruktur, die Pflegenachfrage vor Ort sowie die Pflegeevaluationen – auf die Kosten stationärer Pflege in multiplen Regressionsanalysen getestet. Als Kostendaten liegen rund 12.000 Einzelpreise von Pflegeheimen vor. Die Analyse zeigt, dass regionale Unterschiede von Heimentgelten in hohem Maße durch marktförmige Wettbewerbsstrukturen zu erklären sind. Aufgrund der bestehenden rechtlichen Regulierung findet jedoch keine klassische Preisbildung auf freien Märkten statt. Vielmehr muss von einer zum Teil gesteuerten Bildung der Heimentgelte auf einem Quasi-Markt für Pflege ausgegangen werden, die die bestehenden sozialen Ungleichheiten reproduziert und vertieft.
  BibTeX
  @article{heiberger_frage_2017, abstract = {Heimentgelte stationärer Pflegeeinrichtungen sind in Deutschland von einer hohen regionalen Varianz gekennzeichnet. Vor dem Hintergrund einer marktorientierten Ausgestaltung des Pflegesektors durch die Gesetzliche Pflegeversicherung und der damit einhergehenden Reproduktion sozialer Ungleichheiten untersucht die vorliegende Studie, welche Erklärungsfaktoren diese regionalen Preisunterschiede bedingen. Dazu wird der Einfluss von vier Variablengruppen – die sozioökonomischen Rahmenbedingungen einer Region, ihre Pflegeinfrastruktur, die Pflegenachfrage vor Ort sowie die Pflegeevaluationen – auf die Kosten stationärer Pflege in multiplen Regressionsanalysen getestet. Als Kostendaten liegen rund 12.000 Einzelpreise von Pflegeheimen vor. Die Analyse zeigt, dass regionale Unterschiede von Heimentgelten in hohem Maße durch marktförmige Wettbewerbsstrukturen zu erklären sind. Aufgrund der bestehenden rechtlichen Regulierung findet jedoch keine klassische Preisbildung auf freien Märkten statt. Vielmehr muss von einer zum Teil gesteuerten Bildung der Heimentgelte auf einem Quasi-Markt für Pflege ausgegangen werden, die die bestehenden sozialen Ungleichheiten reproduziert und vertieft.}, author = {Heiberger, Raphael H. and Schwarzer, Bettina and Riebling, Jan R.}, doi = {10.1007/s11609-017-0341-7}, issn = {1862-2593}, journal = {Berliner Journal für Soziologie}, language = {de}, month = {06}, number = 2, pages = {209--241}, shorttitle = {Eine {Frage} des {Marktes}?}, title = {Eine {Frage} des {Marktes}? {Regionale} {Unterschiede} von {Heimentgelten} stationärer {Pflegeeinrichtungen}}, url = {https://doi.org/10.1007/s11609-017-0341-7}, urldate = {2020-05-04}, volume = 27, year = 2017 }
  Link
  https://doi.org/10.1007/s11609-017-0341-7
2016
1. Heiberger, R. H., & Wieczorek, O. J. (2016). Choosing Collaboration Partners. How Scientific Success in Physics Depends on Network Positions. arXiv:1608.03251 Physics. http://arxiv.org/abs/1608.03251
  Zusammenfassung
  Physics is one of the most successful endeavors in science. Being a prototypic big science it also reflects the growing tendency for scientific collaborations. Utilizing 250,000 papers from ArXiv.org a prepublishing platform prevalent in Physics we construct large coauthorship networks to investigate how individual network positions influence scientific success. In this context, success is seen as getting a paper published in high impact journals of physical subdisciplines as compared to not getting it published at all or in rather peripheral journals only. To control the nested levels of authors and papers, and to consider the time elapsing between working paper and prominent journal publication we employ multilevel eventhistory models with various network measures as covariates. Our results show that the maintenance of even a moderate number of persistent ties is crucial for scientific success. Also, even with low volumes of social capital Physicists who occupy brokerage positions enhance their chances of articles in high impact journals significantly. Surprisingly, inter(sub)disciplinary collaborations decrease the probability of getting a paper published in specialized journals for almost all positions.
  BibTeX
  @article{heiberger_choosing_2016, abstract = {Physics is one of the most successful endeavors in science. Being a prototypic big science it also reflects the growing tendency for scientific collaborations. Utilizing 250,000 papers from ArXiv.org a prepublishing platform prevalent in Physics we construct large coauthorship networks to investigate how individual network positions influence scientific success. In this context, success is seen as getting a paper published in high impact journals of physical subdisciplines as compared to not getting it published at all or in rather peripheral journals only. To control the nested levels of authors and papers, and to consider the time elapsing between working paper and prominent journal publication we employ multilevel eventhistory models with various network measures as covariates. Our results show that the maintenance of even a moderate number of persistent ties is crucial for scientific success. Also, even with low volumes of social capital Physicists who occupy brokerage positions enhance their chances of articles in high impact journals significantly. Surprisingly, inter(sub)disciplinary collaborations decrease the probability of getting a paper published in specialized journals for almost all positions.}, author = {Heiberger, Raphael H. and Wieczorek, Oliver J.}, file = {arXiv\:1608.03251 PDF:C\:\\Users\\ac135138\\Zotero\\storage\\CPZJRZMV\\Heiberger und Wieczorek - 2016 - Choosing Collaboration Partners. How Scientific Su.pdf:application/pdf;arXiv.org Snapshot:C\:\\Users\\ac135138\\Zotero\\storage\\32EMMUVF\\1608.html:text/html}, journal = {arXiv:1608.03251 [physics]}, month = {08}, note = {arXiv: 1608.03251}, title = {Choosing {Collaboration} {Partners}. {How} {Scientific} {Success} in {Physics} {Depends} on {Network} {Positions}}, url = {http://arxiv.org/abs/1608.03251}, urldate = {2017-07-03}, year = 2016 }
  Link
  http://arxiv.org/abs/1608.03251
2. Heiberger, R. H., & Riebling, J. R. (2016). Installing computational social science: Facing the challenges of new information and communication technologies in social science. Methodological Innovations, 9, 1–11. https://doi.org/10.1177/2059799115622763
  Zusammenfassung
  Today’s world allows people to connect over larger distances and in shorter intervals than ever before, widely monitored by massive online data sources. Ongoing worldwide computerization has led to completely new opportunities for social scientists to conceive human interactions and relations in unknown precision and quantities. However, the large data sets require techniques that are more likely to be found in computer and natural sciences than in the established fields of social relations. In order to facilitate the participation of social scientists in an emerging interdisciplinary research branch of “computational social science,” we propose in this article the usage of the Python programming language. First, we carve out its capacity to handle “Big Data” in suitable formats. Second, we introduce programming libraries to analyze large networks and big text corpora, conduct simulations, and compare their performance to their counterparts in the R environment. Furthermore, we highlight practical tools implemented in Python for operational tasks like preparing presentations. Finally, we discuss how the process of writing code may help to exemplify theoretical concepts and could lead to empirical applications that gain a better understanding of the social processes initiated by the truly global connections of the Internet era.
  BibTeX
  @article{heiberger_installing_2016, abstract = {Today’s world allows people to connect over larger distances and in shorter intervals than ever before, widely monitored by massive online data sources. Ongoing worldwide computerization has led to completely new opportunities for social scientists to conceive human interactions and relations in unknown precision and quantities. However, the large data sets require techniques that are more likely to be found in computer and natural sciences than in the established fields of social relations. In order to facilitate the participation of social scientists in an emerging interdisciplinary research branch of “computational social science,” we propose in this article the usage of the Python programming language. First, we carve out its capacity to handle “Big Data” in suitable formats. Second, we introduce programming libraries to analyze large networks and big text corpora, conduct simulations, and compare their performance to their counterparts in the R environment. Furthermore, we highlight practical tools implemented in Python for operational tasks like preparing presentations. Finally, we discuss how the process of writing code may help to exemplify theoretical concepts and could lead to empirical applications that gain a better understanding of the social processes initiated by the truly global connections of the Internet era.}, author = {Heiberger, Raphael H. and Riebling, Jan R.}, doi = {10.1177/2059799115622763}, file = {Full Text PDF:C\:\\Users\\ac135138\\Zotero\\storage\\FBVV8ZF8\\Heiberger und Riebling - 2016 - Installing computational social science Facing th.pdf:application/pdf;Snapshot:C\:\\Users\\ac135138\\Zotero\\storage\\C5WWXRDK\\2059799115622763.html:text/html}, issn = {, 2059-7991}, journal = {Methodological Innovations}, language = {en}, month = {01}, pages = {1--11}, shorttitle = {Installing computational social science}, title = {Installing computational social science: {Facing} the challenges of new information and communication technologies in social science}, url = {http://mio.sagepub.com/content/9/2059799115622763}, urldate = {2016-03-17}, volume = 9, year = 2016 }
  Link
  http://mio.sagepub.com/content/9/2059799115622763
2015
1. Schmitz, A., Heiberger, R. H., & Blasius, J. (2015). Das globale Feld der Macht als „Tertium Comparationis“. Österreichische Zeitschrift für Soziologie, 40, Article 3. https://doi.org/10.1007/s11614-015-0171-9
  Zusammenfassung
  We propose a field-theoretical elaboration of the habitus-field-theory towards the level of the ‘world-society’. For this purpose we analyze an integrated data set from different social fields on country level (n = 181 countries) applying multiple factor analysis. We demonstrate that the global field of power can be described by two dimensions: meta-capital and internal functionality. Especially internal functionality can provide a valuable analytical frame of reference for comparative (survey) research.
  BibTeX
  @article{schmitz_globale_2015, abstract = {We propose a field-theoretical elaboration of the habitus-field-theory towards the level of the ‘world-society’. For this purpose we analyze an integrated data set from different social fields on country level (n = 181 countries) applying multiple factor analysis. We demonstrate that the global field of power can be described by two dimensions: meta-capital and internal functionality. Especially internal functionality can provide a valuable analytical frame of reference for comparative (survey) research.}, author = {Schmitz, Andreas and Heiberger, Raphael H. and Blasius, Jörg}, doi = {10.1007/s11614-015-0171-9}, file = {Full Text PDF:C\:\\Users\\ac135138\\Zotero\\storage\\XKSM7F2Z\\Schmitz et al. - 2015 - Das globale Feld der Macht als „Tertium Comparatio.pdf:application/pdf;Snapshot:C\:\\Users\\ac135138\\Zotero\\storage\\HSKMBBVQ\\s11614-015-0171-9.html:text/html}, issn = {1011-0070, 1862-2585}, journal = {Österreichische Zeitschrift für Soziologie}, language = {de}, month = {09}, number = 3, pages = {247--263}, title = {Das globale {Feld} der {Macht} als „{Tertium} {Comparationis}“}, url = {http://link.springer.com/article/10.1007/s11614-015-0171-9}, urldate = {2016-06-02}, volume = 40, year = 2015 }
  Link
  http://link.springer.com/article/10.1007/s11614-015-0171-9
2. Heiberger, R. H., & Riebling, J. R. (2015). U.S. and Whom? Structures and Communities of International Economic Research. Journal of Social Structure, 16, Article 9.
  - BibTeX
  BibTeX
  @article{heiberger_us_2015, author = {Heiberger, Raphael H. and Riebling, Jan R.}, file = {Heiberger_Riebling_2015_U.pdf:C\:\\Users\\ac135138\\Zotero\\storage\\A9ZQXV9G\\Heiberger_Riebling_2015_U.pdf:application/pdf}, journal = {Journal of Social Structure}, number = 9, title = {U.{S}. and {Whom}? {Structures} and {Communities} of {International} {Economic} {Research}.}, volume = 16, year = 2015 }
3. Heiberger, R. H. (2015). Shifts in Collective Attention and Stock Networks. In M. T. Thai, N. P. Nguyen, & H. Shen (Eds.), Computational Social Networks (Vol. 9197, pp. 296–306). Springer International Publishing. https://doi.org/10.1007/978-3-319-21786-4_26
  Zusammenfassung
  In this paper, we combine network analytical methods to understand the structure of financial markets with recent research about collective attention shifts by utilizing massive social media data. Our main goal, hence, is to investigate whether changes in stock networks are connected with collective attention shifts. To examine the relationship between structural market properties and mass online behavior empirically, we merge company-level Google Trends data with stock network dynamics for all S&P 100 corporations between 2004 and 2014. The interplay of massive online behavior and market activities reveals that collective attention shifts precede structural changes in stock market networks and that this connection is mostly carried by companies that already dominate the development of the S&P 100.
  BibTeX
  @incollection{heiberger_shifts_2015, abstract = {In this paper, we combine network analytical methods to understand the structure of financial markets with recent research about collective attention shifts by utilizing massive social media data. Our main goal, hence, is to investigate whether changes in stock networks are connected with collective attention shifts. To examine the relationship between structural market properties and mass online behavior empirically, we merge company-level Google Trends data with stock network dynamics for all S\&P 100 corporations between 2004 and 2014. The interplay of massive online behavior and market activities reveals that collective attention shifts precede structural changes in stock market networks and that this connection is mostly carried by companies that already dominate the development of the S\&P 100.}, address = {New York}, author = {Heiberger, Raphael H.}, booktitle = {Computational {Social} {Networks}}, copyright = {©2015 Springer International Publishing Switzerland}, doi = {10.1007/978-3-319-21786-4_26}, editor = {Thai, My T. and Nguyen, Nam P. and Shen, Huawei}, file = {Full Text PDF:C\:\\Users\\ac135138\\Zotero\\storage\\F3HXBF4H\\Heiberger - 2015 - Shifts in Collective Attention and Stock Networks.pdf:application/pdf;Snapshot:C\:\\Users\\ac135138\\Zotero\\storage\\T54FADGN\\10.html:text/html}, isbn = {978-3-319-21785-7 978-3-319-21786-4}, language = {en}, month = {08}, pages = {296--306}, publisher = {Springer International Publishing}, series = {Lecture {Notes} in {Computer} {Science}}, title = {Shifts in {Collective} {Attention} and {Stock} {Networks}}, url = {http://link.springer.com/chapter/10.1007/978-3-319-21786-4_26}, urldate = {2016-05-24}, volume = 9197, year = 2015 }
  Link
  http://link.springer.com/chapter/10.1007/978-3-319-21786-4_26
4. Heiberger, R. H. (2015). Die Bedeutung institutioneller Regeln für das Handeln an Börsen. Eine soziologische Perspektive auf Aktienrückkäufe in Deutschland. Berliner Journal für Soziologie, 25, Article 3. https://doi.org/10.1007/s11609-015-0286-7
  Zusammenfassung
  The amendment of the German Stock Companies Act in 1998 regarding the repurchase of shares makes it possible to study the acceptance of a capital market strategy at managerial level as well as its effects on investors. Both are sociologically intertwined with the belief of the agents in the efficiency of share repurchases. In the U.S., this pattern has been observed ever since the prevailing of the “Agency Logic”. Based on the largest data set so far, the paper shows that repurchase programs have also been well established in the German business world in the meantime. Short-term market reactions are significantly positive and imply an informal, yet institutionalized rule of action for investors. However, both trends apply especially in times of negative markets and, generally, not in the long-run—which makes them a “bad signal” for private investors. The results present robust evidence in central aspects against the dominant economic explanation (the “Signalling Theory”) and suggest practical actions for politicians, entrepreneurs and investors.
  BibTeX
  @article{heiberger_bedeutung_2015, abstract = {The amendment of the German Stock Companies Act in 1998 regarding the repurchase of shares makes it possible to study the acceptance of a capital market strategy at managerial level as well as its effects on investors. Both are sociologically intertwined with the belief of the agents in the efficiency of share repurchases. In the U.S., this pattern has been observed ever since the prevailing of the “Agency Logic”. Based on the largest data set so far, the paper shows that repurchase programs have also been well established in the German business world in the meantime. Short-term market reactions are significantly positive and imply an informal, yet institutionalized rule of action for investors. However, both trends apply especially in times of negative markets and, generally, not in the long-run—which makes them a “bad signal” for private investors. The results present robust evidence in central aspects against the dominant economic explanation (the “Signalling Theory”) and suggest practical actions for politicians, entrepreneurs and investors.}, author = {Heiberger, Raphael H.}, doi = {10.1007/s11609-015-0286-7}, file = {Snapshot:C\:\\Users\\ac135138\\Zotero\\storage\\IJ7D24VB\\s11609-015-0286-7.html:text/html}, issn = {0863-1808, 1862-2593}, journal = {Berliner Journal für Soziologie}, language = {de}, month = {10}, number = 3, pages = {303--331}, title = {Die {Bedeutung} institutioneller {Regeln} für das {Handeln} an {Börsen}. {Eine} soziologische {Perspektive} auf {Aktienrückkäufe} in {Deutschland}}, url = {http://link.springer.com/article/10.1007/s11609-015-0286-7}, urldate = {2015-10-30}, volume = 25, year = 2015 }
  Link
  http://link.springer.com/article/10.1007/s11609-015-0286-7
5. Heiberger, R. H. (2015). Collective Attention and Stock Prices: Evidence from Google Trends Data on Standard and Poor’s 100. PLoS ONE, 10, Article 8. https://doi.org/10.1371/journal.pone.0135311
  Zusammenfassung
  Today´s connected world allows people to gather information in shorter intervals than ever before, widely monitored by massive online data sources. As a dramatic economic event, recent financial crisis increased public interest for large companies considerably. In this paper, we exploit this change in information gathering behavior by utilizing Google query volumes as a "bad news" indicator for each corporation listed in the Standard and Poor´s 100 index. Our results provide not only an investment strategy that gains particularly in times of financial turmoil and extensive losses by other market participants, but reveal new sectoral patterns between mass online behavior and (bearish) stock market movements. Based on collective attention shifts in search queries for individual companies, hence, these findings can help to identify early warning signs of financial systemic risk. However, our disaggregated data also illustrate the need for further efforts to understand the influence of collective attention shifts on financial behavior in times of regular market activities with less tremendous changes in search volumes.
  BibTeX
  @article{heiberger_collective_2015, abstract = {Today´s connected world allows people to gather information in shorter intervals than ever before, widely monitored by massive online data sources. As a dramatic economic event, recent financial crisis increased public interest for large companies considerably. In this paper, we exploit this change in information gathering behavior by utilizing Google query volumes as a "bad news" indicator for each corporation listed in the Standard and Poor´s 100 index. Our results provide not only an investment strategy that gains particularly in times of financial turmoil and extensive losses by other market participants, but reveal new sectoral patterns between mass online behavior and (bearish) stock market movements. Based on collective attention shifts in search queries for individual companies, hence, these findings can help to identify early warning signs of financial systemic risk. However, our disaggregated data also illustrate the need for further efforts to understand the influence of collective attention shifts on financial behavior in times of regular market activities with less tremendous changes in search volumes.}, author = {Heiberger, Raphael H.}, doi = {10.1371/journal.pone.0135311}, file = {PLoS Full Text PDF:C\:\\Users\\ac135138\\Zotero\\storage\\ZEU44IJ9\\Heiberger - 2015 - Collective Attention and Stock Prices Evidence fr.pdf:application/pdf}, journal = {PLoS ONE}, month = {08}, number = 8, pages = {e0135311}, shorttitle = {Collective {Attention} and {Stock} {Prices}}, title = {Collective {Attention} and {Stock} {Prices}: {Evidence} from {Google} {Trends} {Data} on {Standard} and {Poor}'s 100}, url = {http://dx.doi.org/10.1371/journal.pone.0135311}, urldate = {2015-11-13}, volume = 10, year = 2015 }
  Link
  http://dx.doi.org/10.1371/journal.pone.0135311
6. Heiberger, R. H. (2015). Die soziale Konstruktion von Preisen. Beeinflussung von Kultur, Netzwerken und institutionellen Regeln von Aktienkursen. Springer VS.
  - BibTeX
  BibTeX
  @book{heiberger_soziale_2015, address = {Wiesbaden}, author = {Heiberger, Raphael H.}, publisher = {Springer VS}, title = {Die soziale {Konstruktion} von {Preisen}. {Beeinflussung} von {Kultur}, {Netzwerken} und institutionellen {Regeln} von {Aktienkursen}}, year = 2015 }
2014
1. Heiberger, R. H. (2014). Stock network stability in times of crisis. Physica A: Statistical Mechanics and Its Applications, 393, 376–381. https://doi.org/10.1016/j.physa.2013.08.053
  Zusammenfassung
  Abstract Despite many efforts crises on financial markets are in large part still scientific black-boxes. In this paper, we use a winner-take-all approach to construct a longitudinal network of S&P 500 companies and their correlations between 2000 and 2012. A comparison to complex ecosystems is drawn, especially whether the May–Wigner theorem can describe real-world economic phenomena. The results confirm the utility of the May–Wigner theorem as a stability indicator for the US stock market, since its development matches with the two major crises of this period, the dot-com bubble and, particularly, the financial crisis. In those times of financial turmoil, the stock network changes its composition, but unlike ecological systems it tightens and the disassortative structure of prosperous markets transforms into a more centralized topology.
  BibTeX
  @article{heiberger_stock_2014, abstract = {Abstract Despite many efforts crises on financial markets are in large part still scientific black-boxes. In this paper, we use a winner-take-all approach to construct a longitudinal network of S\&P 500 companies and their correlations between 2000 and 2012. A comparison to complex ecosystems is drawn, especially whether the May–Wigner theorem can describe real-world economic phenomena. The results confirm the utility of the May–Wigner theorem as a stability indicator for the US stock market, since its development matches with the two major crises of this period, the dot-com bubble and, particularly, the financial crisis. In those times of financial turmoil, the stock network changes its composition, but unlike ecological systems it tightens and the disassortative structure of prosperous markets transforms into a more centralized topology.}, author = {Heiberger, Raphael H.}, doi = {10.1016/j.physa.2013.08.053}, issn = {0378-4371}, journal = {Physica A: Statistical Mechanics and its Applications}, month = {01}, pages = {376--381}, title = {Stock network stability in times of crisis}, url = {http://www.sciencedirect.com/science/article/pii/S0378437113008030}, urldate = {2013-11-11}, volume = 393, year = 2014 }
  Link
  http://www.sciencedirect.com/science/article/pii/S0378437113008030
2013
1. Heinze, T., Heidler, R., Heiberger, R. H., & Riebling, J. (2013). New patterns of scientific growth: How research expanded after the invention of scanning tunneling microscopy and the discovery of Buckminsterfullerenes. Journal of the American Society for Information Science and Technology, 64, Article 4. https://doi.org/10.1002/asi.22760
  Zusammenfassung
  This article describes patterns of scientific growth that emerge in response to major research accomplishments in instrumentation and the discovery of new matter. Using two Nobel Prize-winning contributions, the scanning tunneling microscope (STM) and the discovery of Buckminsterfullerenes (BUF), we examine the growth of follow-up research via citation networks at the author and subdiscipline level. A longitudinal network analysis suggests that structure, cohesiveness, and interdisciplinarity vary considerably with the type of breakthrough and over time. Scientific progress appears to be multifaceted, including not only theoretical advances but also the discovery of new instrumentation and new matter. In addition, we argue that scientific growth does not necessarily lead to the formation of new specialties or new subdisciplines. Rather, we observe the emergence of a research community formed at the intersection of subdisciplinary boundaries.
  BibTeX
  @article{heinze_new_2013, abstract = {This article describes patterns of scientific growth that emerge in response to major research accomplishments in instrumentation and the discovery of new matter. Using two Nobel Prize-winning contributions, the scanning tunneling microscope (STM) and the discovery of Buckminsterfullerenes (BUF), we examine the growth of follow-up research via citation networks at the author and subdiscipline level. A longitudinal network analysis suggests that structure, cohesiveness, and interdisciplinarity vary considerably with the type of breakthrough and over time. Scientific progress appears to be multifaceted, including not only theoretical advances but also the discovery of new instrumentation and new matter. In addition, we argue that scientific growth does not necessarily lead to the formation of new specialties or new subdisciplines. Rather, we observe the emergence of a research community formed at the intersection of subdisciplinary boundaries.}, author = {Heinze, Thomas and Heidler, Richard and Heiberger, Raphael Heiko and Riebling, Jan}, copyright = {© 2013 ASIS\&T}, doi = {10.1002/asi.22760}, file = {Snapshot:C\:\\Users\\ac135138\\Zotero\\storage\\J2KGBE9L\\asi.html:text/html}, issn = {1532-2890}, journal = {Journal of the American Society for Information Science and Technology}, language = {en}, number = 4, pages = {829--843}, shorttitle = {New patterns of scientific growth}, title = {New patterns of scientific growth: {How} research expanded after the invention of scanning tunneling microscopy and the discovery of {Buckminsterfullerenes}}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.22760}, urldate = {2020-05-04}, volume = 64, year = 2013 }
  Link
  https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.22760

Lehre

WS 2026/27

Sozialwissenschaftliche Statistik I, VL, Dienstag, 14 – 15:30Uhr, M 2.02 (Breitscheidstr. 2a), ab 20.11.26
Data Science für SozialwissenschaftlerInnen, Seminar, Mitt-woch, 11:30 – 13:00 Uhr, CIP-Pool Breitscheidstr. 2, 5. OG
Forschungsfragen der Computational Social Science (zus. mitPatrick Kaminski), Seminar, Mittwoch, 9:45 – 11:15 Uhr, M 36.21
Kolloquium für Abschlussarbeiten, Dienstag, 17:45 – 19:15Uhr, Raum 2.062 (Seidenstr. 36, 2. OG)

SoSe 2026

Natural Language Processing in den Sozialwissenschaften, MA-Seminar, Dienstag, 15:45 – 17:15 Uhr, CIP-Pool S 36
Soziale Netzwerkanalyse, MA-Seminar, Mittwoch, 8:00 – 9:30 Uhr, CIP Pool S 36
Bachelor-, Master- und Promotionskolloquium, Dienstag, 17:30 – 19:00 Uhr, Seidenstr. 36, 2. OG, Zimmer 62

WS 2025/26

Deskriptive Statistik und Inferenzstatistik, VL, Dienstag, 14 – 15:30 Uhr, M 2.01 (Breitscheidstr. 2a), ab 11.11.25
Data Science für SozialwissenschaftlerInnen, Seminar, Dienstag, 15:45 – 17:15 Uhr, CIP-Pool Seidenstr. 36, ab 11.11.25
Forschungsfragen der Computational Social Science (zus. mit Patrick Kaminski), Seminar, Mittwoch, 11:30 – 13:00 Uhr,
M 36.21
Kolloquium für Abschlussarbeiten, Montag, 17:30 – 19:00 Uhr, Raum 2.062 (Seidenstr. 36, 2. OG), ab 10.11.25

SoSe 2025

Natural Language Processing in den Sozialwissenschaften, MA-Seminar, Dienstag, 15:45 – 17:15 Uhr, CIP-Pool S 36
Soziale Netzwerkanalyse, MA-Seminar, Dienstag, 14:00 – 15:30 Uhr, CIP Pool S 36
Bachelor-, Master- und Promotionskolloquium, Montag, 16:00 – 17:30 Uhr, Seidenstr. 36, 2. OG, Zimmer 62

SoSe 2024

Natural Language Processing in den Sozialwissenschaften, MA-Seminar, Dienstag, 11:30 – 13:00 Uhr, CIP-Pool S 36
Soziale Netzwerkanalyse, MA-Seminar, Dienstag, 14:00 – 15:30 Uhr, CIP Pool S 36
Bachelor-, Master- und Promotionskolloquium, Dienstag, 17:00 – 18:30 Uhr, Seidenstr. 36, 2. OG, Zimmer 62

WS 2023/24

Data Science für SozialwissenschaftlerInnen, Seminar, Dienstag, 14:00 – 15:30 Uhr, CIP-Pool Seidenstr. 36, 2. OG
Forschungsfragen der Computational Social Science, Seminar, Mittwoch, 11:30 – 13:00 Uhr, M 36.21

SoSe 2023

Natural Language Processing in den Sozialwissenschaften, Seminar, Mittwoch, 11:30 – 13:00 Uhr, CIP-Pool S 36
Soziale Netzwerkanalyse, Seminar, Dienstag, 14:00 – 15:30 Uhr, CIP Pool S 36

WS 2022/23

Data Science für SozialwissenschaftlerInnen, Seminar, Dienstag, 14:00 – 15:30 Uhr
Forschungsfragen der Computational Social Science, Seminar, Mittwoch, 9:45 – 11:15 Uhr

SoSe 2022

Natural Language Processing, Seminar, Dienstag, 9:45 – 11:15 Uhr, CIP-Pool Seidenstr. 36
Soziale Netzwerkanalyse, Seminar, Dienstag, 14:00 – 15:30 Uhr, CIP-Pool Seidenstr. 36

WS 2021/22

Data Science für SozialwissenschaftlerInnen, Seminar, Dienstag, 14:00 – 15:30 Uhr
Forschungsfragen der Computational Social Science, Seminar, Mittwoch, 9:45 – 11:15 Uhr

SoSe 2021

Natural Language Processing in den Sozialwissenschaften, Seminar, Dienstag, 9:45 – 11:15 Uhr, CIP-Pool S 36
Soziale Netzwerkanalyse, Seminar, Dienstag, 14:00 – 15:30 Uhr, CIP Pool S 36

WS 2020/21

Forschungsfragen der Computational Social Science, Seminar, Mittwoch, 9:45 – 11:15 Uhr
Data Science für SozialwissenschaftlerInnen, Seminar, Dienstag, 14:00 – 15:30 Uhr

Lebenslauf

Raphael H. Heiberger studierte Soziologie an der Otto-Friedrich-Universität Bamberg und spezialisierte sich bereits während des Studiums auf Methoden. Anschließend wurde er in Bamberg mit einer Arbeit zur „Sozialen Konstruktion von Preisen“ (summa cum laude) promoviert, betreut von Prof. Gerhard Schulze und Prof. Richard Münch. Mehrere Forschungsaufenthalte im Ausland – unter anderem als Gastwissenschaftler an der UCLA und als Fulbright-Stipendiat an der UC Berkeley – sowie eine produktive Postdoc-Phase an der Universität Bremen bei Prof. Betina Hollstein, in der er auch ein BMBF-gefördertes Projekt zu wissenschaftlichen Karrieren leitete, ebneten den Weg zu seiner Berufung an die Universität Stuttgart. Seit September 2019 leitet er dort die Abteilung VII (Computational Social Science) am Institut für Sozialwissenschaften, zunächst als Tenure-Track-Professor und seit Juli 2023 als W3-Professor. 2024 und 2025 forschte er als Feodor Lynen-Forschungsstipendiat der Alexander von Humboldt-Stiftung an der Stanford University.

Raphael Heiko Heiberger

Kontakt

Sprechstunde

Fachgebiet

Publikationen

2026

BibTeX

Link

BibTeX

Link

Zusammenfassung

BibTeX

Link

2025

BibTeX

Link

Zusammenfassung

BibTeX

Link

2024

Zusammenfassung

BibTeX

Zusammenfassung

BibTeX

Link

2023

BibTeX

Link

2022

Zusammenfassung

BibTeX

Zusammenfassung

BibTeX

Link

Zusammenfassung

BibTeX

Link

2021

Zusammenfassung

BibTeX

Link

Zusammenfassung

BibTeX

Zusammenfassung

BibTeX

Zusammenfassung

BibTeX

Link

Zusammenfassung

BibTeX

Link

Zusammenfassung

BibTeX

2020

Zusammenfassung

BibTeX

Link

2019

Zusammenfassung

BibTeX

Link

Zusammenfassung

BibTeX

Link

Zusammenfassung

BibTeX

Link

Zusammenfassung

BibTeX

Link

2018

Zusammenfassung

BibTeX

Link

Zusammenfassung

BibTeX

Link

2017

Zusammenfassung

BibTeX