Regensburg 2019 – wissenschaftliches Programm
SOE 12.9: Poster
Dienstag, 2. April 2019, 16:00–19:00, Poster A
Validation of dynamic social network models by real-world network data — •Jakob Lochner1,2, Jobst Heitzig1, Marc Wiedermann1, Jonathan Donges1, and Jürgen Vollmer2 — 1Institut für Klimafolgenforschung, Potsdam, Deutschland — 2Institut für Theoretische Physik, Leipzig, Deutschland
Everyday experience suggest that individual opinions and identities play an important role for establishing or aborting social relations. Such processes are partially implemented in conceptual dynamic network models, e.g., the adaptive voter model (Holme et al., 2006). Our study aims at a validation of these models and their underlying assumptions about the feedbacks between individual opinions and the topology of the underlying network. To this end we perform a statistical regression analysis of behavior and network data collected at MIT in 2008. The data was recorded by sensors in mobile phones that were given to 80 students. The phones measured proximity to other phones via Bluetooth, and collected communication data from calls and messages. Furthermore the students submitted questionnaires about health, political interest, musical preferences and relationships to other participants. The study monitors their behaviour and opinions over a total period of approximately nine months. We show that, our regression analysis allows to identify underlying social processes like homophily. Forthcoming work will address data from larger social networks and compare it to proxy data generated by numerical implementations of specific models.