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Metastable structures and size effects in small group dynamics.

Rosapia Lauro Grotto1, Andrea Guazzini2, Franco Bagnoli3

  • 1Psychology and Psychiatry Section, Department of Health Sciences and Center for the Study of Complex Dynamics, University of Florence Florence, Italy.

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|July 30, 2014
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Summary

This study models small group dynamics using socio-physics to understand emergent emotional states. Findings show metastable collective states are possible and depend on group size and specific conditions.

Keywords:
Bion basic assumptionsSociophysicscomplex systemssmall group dynamicstherapeutic group

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Area of Science:

  • Psychoanalytic theory
  • Computational social science
  • Socio-physics

Background:

  • Wilfred Bion's seminal work defined a therapeutic setting for psychoanalytic observation of group phenomena.
  • Bion proposed proto-mental individual states evolve into shared psychological states with specific characteristics.
  • These states feature emotional combinations, temporal stability, alternation, and implicit expectations influencing group behavior.

Purpose of the Study:

  • To explore structural and dynamic properties of small group dynamics using a formal socio-physics approach.
  • To assess conditions for emergent metastable collective states in a simulated small group.
  • To differentiate these states structurally and examine system size dependency.

Main Methods:

  • Utilized a formal approach derived from socio-physics.
  • Employed an agent-based model (DS model) simulating small group interactions.
  • Agents possessed simplified emotional and cognitive dynamics.

Main Results:

  • Metastable collective states can emerge under specific conditions within the model's parameter space.
  • These emergent states exhibit structural differentiation.
  • Dynamic features are dependent on system size.

Conclusions:

  • The study provides quantitative insights into small group dynamics, validating Bion's concepts through a computational model.
  • Findings suggest that emergent emotional and cognitive states in small groups are quantifiable and predictable.
  • Potential applications exist for quantitative descriptions in clinical settings.