Computer Simulation Research On Evolution Of Public Health Emergency Network Public Opinion

In this paper,public health emergencies network public opinion evolution process as the research object,based on the analysis of the process,an evolution model of public opinion on public health emergencies based on multi-agent simulation was established.The article first analyzes the characteristics of network public opinion in public health emergencies,the main body of public opinion participation and its behavior,analyzes the Internet users who participate in public opinion emphatically,and determines the internal and external factors that affect Internet viewpoints.Established a change of opinion model of Internet users based on the classical public opinion dynamic model Deffuant model.And uses the scale-free network model to represent the network structure of the cybernetics interpersonal relationship,thus establishing the model of the network public opinion evolution of public health emergencies.Then this paper uses Anylogic simulation platform to establish a multi-agent simulation model of public opinion evolution,and based on the related microblog data of "Shandong Vaccine Incident" captured,this paper statistically analyzes the microblog data of this event and determines the parameters of the model The value and its scope of change.By setting different values for the same parameter,the simulation experiments under different parameter values were conducted.The experimental results were observed and the influence of different factors on the public opinion evolution of public health emergencies was analyzed.After the simulation experiment,the established multi-agent simulation model is verified through the related micro-blog public opinion data of "the Taojiang tuberculosis event" and the various parameters determined by it,and the rationality of the model is confirmed.Finally,according to the data of microblogging and the simulation experiments,we got the conclusion of this study,and proposes specific measures to deal with and guide the public opinion of such events from the perspectives of the government to reduce network rumors and reduce unfavorable social impact of public health emergencies.