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Related Experiment Video

Updated: Jan 19, 2026

The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test
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Power accretion in social systems.

Silvia N Santalla1, Kostadin Koroutchev2, Elka Korutcheva3,4

  • 1Departamento de Física and Grupo Interdisciplinar de Sistemas Complejos, Universidad Carlos III de Madrid, E-28911 Madrid, Spain.

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Summary
This summary is machine-generated.

Inequality in social power distribution naturally emerges in network games, creating distinct agent classes. Redistributive taxation can foster equality, with critical levels depending on network geometry.

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Area of Science:

  • Complex systems
  • Social network analysis
  • Game theory

Background:

  • Understanding power dynamics in social systems is crucial.
  • Agent-based models offer insights into emergent inequality.
  • Network structure significantly influences system behavior.

Purpose of the Study:

  • To model power distribution in a social system using a game on a graph.
  • To investigate the emergence of inequality and class division.
  • To analyze the impact of redistributive mechanisms like taxation on inequality.

Main Methods:

  • Agent-based modeling on one- and two-dimensional networks.
  • Analysis of power dynamics based on game outcomes.
  • Application of inequality measures (Gini index, Lorenz curve) and novel metrics (roughness, Shannon entropy).

Main Results:

  • Inequality naturally arises, stabilizing with a division between high- and low-power agent classes.
  • Network geometry creates barriers that limit power flow between classes.
  • Sufficient proportional taxation induces a sharp transition to a more equal society.
  • Critical taxation levels are determined by system geometry.

Conclusions:

  • Power inequality is an emergent property of simple social games on networks.
  • Network structure plays a key role in shaping inequality patterns.
  • Redistributive taxation is an effective tool for mitigating inequality, with its efficacy dependent on network geometry.