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Abstract <p> In recent years, there has been an increase in social tension all over the world, whichmanifests itself in the form of social protests. Understanding the dynamics of street protests andstudying the factors that can influence their occurrence, duration, and intensity is crucial for thestable and sustainable development of society. One approach to constructing various scenarios ofsocial dynamics is to use the theory of mean-field games. A combined mathematical model ofsocial protests based on the approach of mean-field games and dynamical systems is proposed.Numerical results of solving the inverse problem based on statistical data of the social movementin France in 2018–2019 are presented.</p>

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Modelling the Dynamics of Social Protests: Mean-Field Games and Inverse Problems

  • 期刊论文

  • 发表日期：

    2025年6月1日

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  • A. I. Glukhov,
  • M. A. Shishlenin,
  • N. V. Trusov

摘要

Abstract

In recent years, there has been an increase in social tension all over the world, whichmanifests itself in the form of social protests. Understanding the dynamics of street protests andstudying the factors that can influence their occurrence, duration, and intensity is crucial for thestable and sustainable development of society. One approach to constructing various scenarios ofsocial dynamics is to use the theory of mean-field games. A combined mathematical model ofsocial protests based on the approach of mean-field games and dynamical systems is proposed.Numerical results of solving the inverse problem based on statistical data of the social movementin France in 2018–2019 are presented.