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