Evolutionary Game Analysis of Social Media User Privacy Protection Based on Government Supervision
This paper examines the decision-making rules governing user privacy disclosure in a system involving social media users,platforms,and the government,within the context of government regulatory policies.By employing MATLAB software and evolutionary game theory,a game model is developed to analyze the interactions among these participants.The study simulates the impact of various parameters,including user expected income,government penalties,and subsidies,on the evolution of behavioral strategies.The findings reveal three potential equilibrium states,with government regulation capable of optimizing both compromise and adverse equilibria.The study suggests that regulatory authorities should strategically leverage subsidies and penalties while balancing their own costs and benefits to guide platforms in the responsible use of user data.The research provides theoretical and practical insights that can inform government regulatory decisions,promoting a balanced development of industry benefits and privacy protection,and fostering a more secure,transparent,and efficient network ecosystem.
万方数据
维普
