Analysis of Information Dissemination Behavior Based on Network Evolutionary Game Theory
Evolutionary game theory combines game theory with dynamic evolution process and pursues dynamic balance in the process of evo-lution.This method better realizes the analysis of the evolution trend of online social network information dissemination.In order to study the evolution dynamics of information dissemination in online social networks,and analyze the reasons and ways of reaching a certain equilibrium state,first of all,combined with the characteristics of online social networks,an improved clustering scale-free network is constructed.The interaction between users adopts a single-parameter prisoner's dilemma game model,and the Fermi rule update strategy.Secondly,by analyz-ing the factors that affect the evolution of the proportion of partners in the network through data simulation,it is concluded that the network ag-gregation and the weight of game returns will promote the cooperative behavior in the network,while the temptation of betrayal and noise fac-tors will inhibit it.Finally,combined with the real public opinion communication data of Sina Weibo,this paper analyzes the information com-munication of the real network.The results show that the proportion of partners is the result of the interaction of game dynamics and network to-pology,and it is necessary to adopt appropriate incentive mechanism to solve the cooperative dilemma of information transmission in online so-cial networks.
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