APPLICATION OF GAME THEORY AND LLM-BASED CONTENT ANALYSIS IN SOCIAL NETWORKS TO IDENTIFY NASH EQUILIBRIUM AND KEY PLAYERS UNDER MASS RIOTS

Urtnasan Batnasan

This article proposes a methodology that combines game theory and automated content analysis to identify Nash equilibrium and “key” players during mass riots. Using the example of the protests in Mongolia, the calculation of utility functions is based on classifying comments (P, S, N), thereby supporting managerial decision-making in crisis situations.

Keywords:game theory, mass riots, social networks, LLM (large language model), content analysis, Nash equilibrium