The Dynamic Evolution Mechanism Of Weibo Public Ipinion Reverasl

Weibo as an important way to the spread of the domestic public opinion,daily and spread a lot of information,but because of the Internet information release threshold is low,can publish information on weibo,so a percentage of the distortion of information on weibo,after generating microblogging public opinion and get caught up in the real information,caused the incident again to generate a larger discussion more public opinion.Nowadays,the cost of releasing news is getting lower and lower,so that the phenomenon of the reversal of public opinion on weibo has become more and more severe in recent years.Therefore,it is of great significance to study the reversal of public opinion on weibo.Firstly,this paper studies the subjects of the reversal of public opinion,and identifies three subjects with different characteristics and different positions:the authority,opinion leaders and ordinary netizens.Therefore,different subjects have different interests in this event.Therefore,this paper studies the evolution of weibo public opinions from the perspective of game theory.This paper chooses to analyze the public opinion inversion through the evolutionary game,and divides the public opinion inversion into two parts:one is the stage of public opinion generation with the participation of opinion leaders and ordinary netizens,and the other is the stage of public opinion generation with the participation of authoritative institutions,opinion leaders and ordinary netizens.Their strategy sets and risk matrices are analyzed for different stages,and the total game returns and replication dynamic equations of different players are calculated.The evolution direction and the final stable state of the subject in a certain stage in different evolution processes are understood by the replication dynamic equation.In this paper,the evolution parameters are determined by MATLAB simulation,and the final evolution parameters are determined according to the actual data.The two stages of the inversion process were simulated respectively,and the control group was set to study the influence of different parameter changes on the overall evolution trend.