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Social nucleation: Group formation as a phase transition.
Frank Schweitzer1, Georges Andres1
1Chair of Systems Design, ETH Zurich, Weinbergstrasse 58, 8092 Zurich, Switzerland.
Physical Review. E
|May 20, 2022
Summary
This study models social group formation using physical phase transitions. Critical parameters like costs, benefits, and social influence determine if one large group or multiple stable groups emerge.
Area of Science:
- Sociophysics
- Computational Social Science
- Network Science
Background:
- Social group dynamics share similarities with physical phase transitions in finite systems.
- Understanding the early stages of social network formation is crucial.
Purpose of the Study:
- To model the spontaneous formation, growth, and dissolution of social groups.
- To investigate the critical parameters influencing group formation and stability.
- To describe group dynamics using analogies to percolation, spinodal decomposition, and nucleation.
Main Methods:
- Utilized an agent-based model with feedback between agent opinions and link formation.
- Incorporated group restrictions on link formation and agent exit conditions based on cost-benefit analysis.
- Employed analytic investigations to derive critical densities.
Main Results:
- Identified critical parameters for costs, benefits, and social influence that dictate group outcomes.
- Demonstrated conditions leading to either a single large group or stable coexistence of multiple opinion-based groups.
- Derived critical densities controlling group formation and coexistence.
Conclusions:
- The study provides insights into the early stages of network growth and the emergence of large connected components.
- The physical phase transition analogy effectively describes social group dynamics.
- Agent-based modeling offers a robust framework for studying complex social phenomena.
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