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The temporal dynamics of group interactions in higher-order social networks

Social Work

The temporal dynamics of group interactions in higher-order social networks

I. Lacopini, M. Karsai, et al.

This research investigates how individuals navigate and form groups within social networks, revealing robust patterns that apply in both childhood and university settings. Conducted by Iacopo Lacopini, Márton Karsai, and Alain Barrat, this study offers valuable insights into social dynamics and proposes a dynamical model that closely mirrors real-world interactions.

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Playback language: English
Abstract
This paper investigates the temporal dynamics of group interactions in higher-order social networks using empirical data on social interactions among children and university students. The authors characterize how individuals navigate groups and how groups form and disaggregate, finding robust patterns across contexts. A dynamical model is proposed and shown to closely reproduce empirical observations, furthering understanding of social systems and opening new research directions on the impact of group dynamics on various processes.
Publisher
Nature Communications
Published On
Aug 27, 2024
Authors
Iacopo Lacopini, Márton Karsai, Alain Barrat
Tags
group dynamics
social networks
temporal dynamics
empirical data
interactions
higher-order networks
dynamical model

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