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A model for the dynamics of face-to-face interactions in social groups

Published online by Cambridge University Press:  06 March 2020

Marion Hoffman Open the ORCID record for Marion Hoffman [Opens in a new window] ,
Per Block Open the ORCID record for Per Block [Opens in a new window] ,
Timon Elmer Open the ORCID record for Timon Elmer [Opens in a new window]  and
Christoph Stadtfeld Open the ORCID record for Christoph Stadtfeld [Opens in a new window]
Marion Hoffman*
Affiliation:
Chair of Social Networks, ETH Zürich, Zürich, Switzerland (e-mails: timon.elmer@gess.ethz.ch, christoph.stadtfeld@ethz.ch)
Per Block
Affiliation:
Department of Sociology, University of Oxford, OxfordOX1 1JD, UK (e-mail: per.block@sociology.ox.ac.uk)
Timon Elmer
Affiliation:
Chair of Social Networks, ETH Zürich, Zürich, Switzerland (e-mails: timon.elmer@gess.ethz.ch, christoph.stadtfeld@ethz.ch)
Christoph Stadtfeld
Affiliation:
Chair of Social Networks, ETH Zürich, Zürich, Switzerland (e-mails: timon.elmer@gess.ethz.ch, christoph.stadtfeld@ethz.ch)
*
*Corresponding author. Email: marion.hoffman@gess.ethz.ch
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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 article, we present a new statistical network model (DyNAM-i) 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. It moves beyond dyadic interaction mechanisms and translates central social network mechanisms—such as homophily, transitivity, and popularity—to the context of interactions in group settings. The utility and practical applicability of the new model are illustrated in two social network studies that investigate face-to-face interactions in a small party and an office setting.

Keywords

Hocine CherifiStanley WassermanNetwork modelssocial interactionsgroup interactionsstatistical modelssocial sensorsrelational eventsactor-oriented models

Information

Type
Research Article
Information
Network Science , Volume 8 , Issue S1: Complex Networks 2018 , July 2020 , pp. S4 - S25
Copyright
© Cambridge University Press 2020

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