Abstract

Face-to-face interactions in social groups are a central aspect of human social lives. Although the composition of such groups has received ample attention in various fields—e.g., sociology, social psychology, management, and educational science—their micro-level dynamics are rarely analyzed empirically. In this talk, I present a recent statistical network model that can represent the dynamics of conversation groups and interpersonal interaction in different social contexts. Taking an actor-oriented perspective, this model can be applied to test how individuals’ interaction patterns differ and how they choose and change their interaction groups. I demonstrate its use on data collected with sociometric badges in two empirical contexts: encounters between colleagues in an office setting and interactions between students during an introductory event.

Reference

Marion Hoffman (Institute for Advanced Study in Toulouse), “A statistical model for records of face-to-face interactions”, IAST Lunch Seminar, Toulouse: IAST, May 17, 2022, 12:45, room Auditorium 4.