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Updated: Sep 8, 2025

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Characterization of Thermal Transport in One-dimensional Solid Materials
Published on: January 26, 2014
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Phase diagram in a one-dimensional civil disorder model
Ignacio Ormazábal1, Felipe Urbina2, Félix A Borotto1
1Departamento de Física, Universidad de Concepción, Concepción, Chile.
Physical Review. E
|June 16, 2022
Summary
This study analyzes Epstein's civil disorder model using sociophysics. Numerical simulations reveal order-disorder phases and the principle of minimum grievance, highlighting the police's role in stabilizing protests.
Area of Science:
- Sociophysics
- Computational Social Science
- Agent-Based Modeling
Background:
- Epstein's civil disorder model simulates social protests and police intervention.
- The sociophysics approach has not yet analyzed the dynamics of police-citizen interactions in this model.
- Understanding these dynamics is crucial for social stability analysis.
Purpose of the Study:
- To characterize the stationary state properties of Epstein's one-dimensional civil disorder model.
- To analyze the influence of police intervention on protest dynamics using numerical simulations.
- To identify the underlying principles governing the model's behavior and stability.
Main Methods:
- Numerical simulations of the one-dimensional civil disorder model.
- Analysis of interactions on Moore and random neighborhoods.
- Introduction of a Potts-like energy function and phase diagram construction based on agent state concentration.
Main Results:
- Identification of distinct order-disorder phases within the model.
- Revelation of the principle of minimum grievance as a key driver of model dynamics.
- Determination of conditions for system stability or instability based on agent interactions.
Conclusions:
- The police play a significant role in dissuading protests and facilitating stable scenarios.
- The principle of minimum grievance governs the model's dynamics, influencing stability.
- Sociophysical analysis provides insights into civil disorder model properties and agent interactions.
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