Prof. Dr.

Raphael Heiko Heiberger

Head of Department SOWI VII
Institute of Social Sciences
Computational Social Science

Contact

+49 711 685-81132
+49 711 685-81006

Seidenstraße 36
70174 Stuttgart
Deutschland
Room: 2.075

Office Hours

via appointment by e-mail

Subject

His research focus lies in the emerging field of CSS, which aims to bridge social and computer sciences. Since his doctoral studies he has been applying methods from the natural and computer sciences to social phenomena (e.g., the emergence of economic crises, power relations between states, scientific careers, technological breakthroughs). Thematically, his research focuses on the economy and financial markets (Econophysics), political and media debates, and the science system (Science of Science). Methodologically, his main interests are natural language processing, machine learning, social network analysis and, more recently, agent-based modeling. In accordance with these methodological interests, collaboration in interdisciplinary teams is an important cornerstone. Therefore, the department SoWi VII cooperates with researchers from computer science, political and communication sciences, public health, educational research, civil engineering, and natural history.

Raphael Heiberger is a board member of the DGS section Social Network Analysis and has been co-organizing the Trier Summer School on Social Network Analysis for several years. He is leading a research project on ABD funded by the BMFB. Recently, Sowi VII has also been awarded an EU Horizon 2020 project on the international protection of refugees (Protect) as part of a high-ranking international consortium.

  1. 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(4), 70. https://doi.org/10.3390/buildings10040070
  2. 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(2), 612--652. 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(3), 1387--1428. 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
    4. Breure, A. S. H., & Heiberger, R. H. (2019). Reconstructing science networks from the past. Journal of Historical Network Research, 3(1), 92--117. https://doi.org/10.25517/jhnr.v3i1.52
  3. 2018

    1. 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
    2. 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
  4. 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(2), 209--241. https://doi.org/10.1007/s11609-017-0341-7
  5. 2016

    1. 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
    2. 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
  6. 2015

    1. Schmitz, A., Heiberger, R. H., & Blasius, J. (2015). Das globale Feld der Macht als „Tertium Comparationis“. Österreichische Zeitschrift für Soziologie, 40(3), 247--263. https://doi.org/10.1007/s11614-015-0171-9
    2. Heiberger, R. H. (2015d). Die soziale Konstruktion von Preisen. Beeinflussung von Kultur, Netzwerken und institutionellen Regeln von Aktienkursen. Springer VS.
    3. Heiberger, R. H., & Riebling, J. R. (2015). U.S. and Whom? Structures and Communities of International Economic Research. Journal of Social Structure, 16(9), Article 9.
    4. Heiberger, R. H. (2015b). Die Bedeutung institutioneller Regeln für das Handeln an Börsen. Eine soziologische Perspektive auf Aktienrückkäufe in Deutschland. Berliner Journal für Soziologie, 25(3), 303--331. https://doi.org/10.1007/s11609-015-0286-7
    5. Heiberger, R. H. (2015c). 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
    6. Heiberger, R. H. (2015a). Collective Attention and Stock Prices: Evidence from Google Trends Data on Standard and Poor’s 100. PLoS ONE, 10(8), e0135311. https://doi.org/10.1371/journal.pone.0135311
  7. 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
  8. 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(4), 829--843. https://doi.org/10.1002/asi.22760

Raphael H. Heiberger studied sociology at the University of Bamberg. During his studies he already specialized in methods and econometrics. Afterwards he did his doctorate in Bamberg on "Social Construction of Prices" (Summa cum Laude), supervised by Prof. Gerhard Schulze and Prof. Richard Münch. Several stays abroad (among others as a researcher at UCLA, a Fulbright Scholarship at UC Berkeley, active member of the McFarland Lab at Stanford University) and a productive postdoc phase at the University of Bremen under Prof. Betina Hollstein led to his appointment at the University of Stuttgart. Since September 2019 he has been a tenure-track professor for "Computational Social Science" (CSS) and is also head of Department VII at the Institute of Social Science.

CV

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