Tripartite Evolutionary Game And Simulation Research On Rumor Control Technological Innovation Of Social Media

The application of Big Data related technologies on social media platforms provides the foundation for our country to purify network ecological environment,improve citizens’ network literacy and promote social order stability under major sudden events,and also provides a promising choice for building a socialist stable society.However due to the high application threshold of relevant technologies,high operation and maintenance cost,and the lack of corresponding technology to promote the internal power of technological innovation,it is urgent to join hands with multiple parties.Policy institution,as the makers of regulation policies,are the important subjects to promote the technological innovation related to Big Data.While monitoring departments are maintaining the ecological situation of social networks,although rumor control plays a certain role,most of them are the third party between the other two subjects after rumor diffusion causes certain economic losses.However,previous researches on rumor and control tend to be one-sided in order to analyze the process of technological innovation from the perspective of multi-dynamic evolution.Therefore,for how to promote the adoption of technological innovation on social media platforms in the information age,the strategic choice among platforms,policy institutions and monitoring departments is analyzed dynamically from the perspective of dynamic game.The paper analyzes the final direction of the selection and evolution path of different situation,and analyzes the correctness of the stable environment analysis of the game strategy,and analyzes the factors of the direct human intervention in the process of evolution,and analyzes the promotion or inhibition of the various main elements for the selection of the evolutionary path,thus providing practical inspiration for the better implementation of the technological innovation of the social media.On the basis of considering the relationship between various evolutionary agents and centering on the core issue of how to make technological innovation better driven by policy,this paper constructs a three-party evolutionary game model,and studies the solution of the mode-l,the influence analysis of unilateral strategy and the determination of the conditions of equilibrium strategy.At the same time,numerical simulation analysis was carried out with the help of Matlab R2019 a to verify the correctness of model solving.For the evolution results under different environments,the evolutionary reasons were analyzed and explained in combination with the life cycle theory.In addition,the path comparison analysis was carried out on the factors and variables that can be directly intervened by human beings in the evolution process to analyze their influence capacity.To provide the basis for subsequent conclusions and countermeasures.