Based On The Public Opinion Propagation Modeling And Evolution Of The Complex Network Research

The structure of system determine the function,this article use the method of thestudy of complex network researching the formation and propagation of publicopinion.As the information based on social network has a dynamic and interactivefeatures,it is difficult to portray the formation and propagation of the public opinionbased on social network quantitatively.Complex networks as a tool to quantitativelycharacterize complex systems,to model and analyze complex self-organizingsystems.Social networking system “personal” and “relationship” and abstracted intonodes and edges.Then we can analysis and research quantitively the impact offormation and dissemination of public opinion use the complex network theory of thestructure of the social network.First chapter review the research background and statistical properties of thecomplex network.secondly,described as mass media theory and researchbackground.The theory of self-organization is a concrete manifestation theory in theprocess of the formation and propagation of public opinion.Self-organization isdynamic process of change.This dynamic process change not only in the state of thesystem before and after the process of self-organization,but also performance for asteady state of the system from a uniform simple,balanced state into aorderly,complex,non-equilibrium state.The mechanism based on a complex networkof formation and propagation of public opinion,illustrated appropriately under certainconditions,system is how to automatically from disorder to order,from low leveldisorder towards senior orderly.The second chapter reviews the basic model of formation and propagation ofpublic opinion in complex networks,such as the Ising model,Sznajd model,the votermodel,the majority decision model,bounded confidence model,Deffuantmodel,Hegselmann-krause model and so on.The third chapter with the theory of complex networks study the process offormation and propagation of public opinion in WS small-word network,BA scalenetwork and complete graph network.With the point of view that the topologicalstructure determines the function of the system compare the process of evolution ofpublic opinion in various networks,and do the theoretical analysis.Proposed thediscrete perspective dynamical evolution model with the markov analysis,the laststable results are inevitable,that is,the public opinion in the network evolution willstabilize after a certain length of time,and finally no longer changes.Prove the validity of the theoretical analysis by computer simulation.Finally,proposed the controlstrategy of the spread of public opinion based on Agent impact index.Pointed out thatcontrol the center node of the network can reach guiding the direction and formationtime of public opinion.The fourth chapter is starting from a dynamic point of view that proposednetwork topology changes dynamically with the continuing time,that is theimprovement of the Bak-Sneppen network,analysis the mechanism of the spread ofpublic opinion in the network with dynamically changes.Analysis the evolution ofpublic opinion in a dynamic network from the model of thenature,structure,parameters.Finally,numerical simulation prove the validity of theanalysis.The fifth chapter make the looking of full summary and propose the inadequaciesof paper and point out the direction of future research.