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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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Mathematical model of repressive response to collective action and protest waves
1Institut Camille Jordan, UMR 5208 CNRS, University Lyon 1, 69622 Villeurbanne, France.
Journal of Theoretical Biology
|October 21, 2024
Summary
State repression can lead to cycles of protest. Mathematical modeling reveals how repressive regimes may persist, oscillate, or destabilize in response to collective action, offering insights into historical protest patterns.
Area of Science:
- Political Science
- Sociology
- Mathematical Modeling
Background:
- Societal opposition can lead to collective action and protest.
- State repression is a common response to quell such actions.
- Understanding the dynamics of state-society interaction is crucial.
Purpose of the Study:
- To analyze the dynamic interaction between state repression and collective action.
- To model the impact of repressive responses on protest movements.
- To explore the conditions leading to regime persistence, oscillation, or destabilization.
Main Methods:
- Development of a mathematical model using differential equations.
- Analysis of the model to understand the interplay between state repression and collective action.
- Simulation of various scenarios to observe regime dynamics.
Main Results:
- Repressive regimes can exhibit sustained persistence, oscillatory patterns, or destabilization.
- The intensity and nature of repression significantly influence the outcome.
- Modeling provides insights into the emergence of protest cycles.
Conclusions:
- Mathematical modeling offers a valuable framework for studying state-society dynamics.
- Understanding these dynamics can explain historical patterns of protest and regime change.
- The model can be used to explore the effects of different policy interventions.
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