Research On Multi-agent Based Social Network Communication Problem

With the development of times and the progress of science and technology,social network revolution came into being.It has become an important topic of current social management to study the microscopic interaction between subjects in social networks and master the propagation law and evolution trend of communication objects(such as public opinion information and COVID-19 virus)in social networks.Studying the transmission of public opinion information and COVID-19 virus in social network and exploring the transmission mechanism of public opinion information and virus in social network can grasp the law and evolution trend of public opinion information and COVID-19 virus transmission,which has important practical significance to actively respond to the spread of public opinion information and virus,effectively manage,prevent and control the spread of public opinion information and virus,and promote the stable development of society.The main work and research results of this paper are as follows:The propagation mode of public opinion information in We Chat social network is analyzed,Agent subjects on We Chat social network is classified and their behavior and state characteristics is analyzed in this paper.Through the further discussion of the microscopic interaction between Agent subjects,the decision rules of Agent are given.The internal relationship between Agents is reflected by network structure,and the public opinion propagation model of We Chat social network based on multi-agent is established.Through the simulation experiment,the influence of the timeliness of information value,information source coverage and information attention on the dissemination of We Chat public opinion information is studied.The simulation results show that the timeliness of information value is positively correlated with the dissemination of public opinion information,the coverage rate of information source is positively correlated with the number of forwarding agents and the number of suspending agents.Information attention has a great influence on the dissemination of public opinion.The evolution process of public opinion information on Weibo social network is analyzed.The agents are classified according to the behavior and state characteristics of agents on Weibo social network.Through the division of information processing stage,the behavior rules of agents are analyzed.According to the influence functions of government agents,media agents and network user agents,and combined with Bayesian probability principle,the decision model of micro-blog user Agent is given.The simulation results show that the information dissemination dominated by microblog users can explain the micro autonomous interaction behavior between subjects.At the same time,considering the network structure and information content of microblog social network,the dissemination of public opinion in microblog social network can be effectively controlled through the intervention of government agents and media agents on negative public opinion information.The social network virus transmission mode is analyzed,and the virus transmission crowd Agent is classified.The attributes,state transition rules and decision-making mechanism of Agent are given.The social network COVID-19 virus transmission model based on multi-Agent is constructed.Through simulation experiments,the effects of adaptive behavior,isolation intensity,initial infection rate and safety distance on the transmission of COVID-19 virus are studied.The simulation results show that the applicable behavior of the subject can hinder the spread of the virus.The safety distance and isolation strength are positively correlated with the resistance to the spread of COVID-19 virus.The larger the safety distance is,the stronger the isolation strength is,and the more conducive it is to hinder the spread of the virus.The initial infection probability has a great influence on the spread of the virus.