Social network dynamics of face-to-face interactions

Kun Zhao (1) , Juliette Stehle (2, 3, 4) , Ginestra Bianconi (1) , Alain Barrat (3, 5, 4)

1 Department of Physics, Northeastern University
2 CPT - E5 Physique statistique et systèmes complexes
3 CPT - Centre de Physique Théorique - UMR 6207
4 CPT - Centre de Physique Théorique - UMR 7332
5 ISI - Data Science Laboratory

The recent availability of data describing social networks is changing our understanding of the "microscopic structure" of a social tie. A social tie indeed is an aggregated outcome of many social interactions such as face-to-face conversations or phone-calls. Analysis of data on face-to-face interactions shows that such events, as many other human activities, are bursty, with very heterogeneous durations. In this paper we present a model for social interactions at short time scales, aimed at describing contexts such as conference venues in which individuals interact in small groups. We present a detailed anayltical and numerical study of the model's dynamical properties, and show that it reproduces important features of empirical data. The model allows for many generalizations toward an increasingly realistic description of social interactions. In particular in this paper we investigate the case where the agents have intrinsic heterogeneities in their social behavior, or where dynamic variations of the local number of individuals are included. Finally we propose this model as a very flexible framework to investigate how dynamical processes unfold in social networks.

Domaines: Physique et Société [physics.soc-ph]

Kun Zhao, Juliette Stehle, Ginestra Bianconi, Alain Barrat. Social network dynamics of face-to-face interactions. Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, 2011, 83, pp.056109. ⟨10.1103/PhysRevE.83.056109⟩. ⟨hal-00565802⟩