Research On Network Public Opinion Evolution Model On Complex Network

With the eye-dazzling development of the Internet,the network public opinion is widely concerned by the society.The research of network public opinion is a hot topic,which covers social science and Natural Science.The study of network information communication mode is helpful to understand the mechanism of information communication,explore the key influencing factors of information communication,understand the topological characteristics of network user relationships,reveal the essence of complex phenomenon,and provide theoretical guidance for the research and application of network topic development trend prediction.In this paper,based on information interaction phenomenon in the internet,combining research and modeling method of interdisciplinary field,analyze the behavior characteristics of network user,model for communication and communication process,study the aggregation,differentiation and evolution of group view,and also discusses the guiding strategy of network public opinion.The main work includes:1.Based on the traditional cellular automaton model,combining Bass theory add the external influence,and introduce the neighborhood influence degree and the external influence degree,propose a cellular automata network model of public opinion transmission considering external influence.2.Study the impact of subjective initiative on the opinion evolution,improve the classical finite trust model,introduces the firmness degree,trust degree and memory length,propose a new method to measure the interaction between individuals,and establish a network public opinion evolution model with memory mechanism based on HK network.The new model takes into account the influence of users,trust threshold and individual memory,which is more in line with the characteristics of group communication in the real network environment.