A Game-Theoretic Model of the Evolution of Cyberbullying in Social Media Networks from a Behavioral Economics Perspective

Yuqing Ma

doi:10.54691/caxrq989

Authors

Yuqing Ma

DOI:

https://doi.org/10.54691/caxrq989

Keywords:

Evolutionary games, multi-agent simulation, social media attack behavior, replication dynamics, strategy evolution.

Abstract

In this paper, the evolution of MAS and platform intervention mechanism is established according to the dynamic diffusion character of social media attack. This paper constructs a utility function system, which includes attackers, common users, and platform. Then, it describes the evolution of behavior ratio by means of simulating dynamic equations. On the basis of this, we explain the mechanism by which the utility parameters and the intervention intensity affect the stability of the system. Based on the simulation results, the ratio of attack behavior is reduced from 0.247 to 0.069, and the convergence rate is kept within 120. The steady attack ratio was reduced from 0.214 to 0.067 when the interference intensity was increased from 0.30 to 0.75, and when the recognition precision was increased to 0.86, the steady state attack ratio was reduced to 0.058.It showed that the proposed model could effectively capture the diffusion and convergence of the attack behavior, and could explain the evolution of the system in various parameters.

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