Research On The Evolution Of Network Public Opinion:Based On Complex Network

With the rapid development of information technology,the dissemination of information has become more convenient,making the continuous occurrence of public opinion in Internet society has become the focus of attention.The aggregate effect of people's views is an important factor in the emergence of network public opinion and the stability of the society.At present,there are many studies on the dynamic evolution of the network public opinion,but which often ignores the relationship between the change of network structure and the spread of public opinion,the research on dynamic evolution between the public opinion and the network structure and analysis of mutual relations on them to reveal the characteristics of network topology and the trend of public opinion evolution has a reality very important significance on the prevention and control of network public opinion.Based on the researches of complex network theory and public opinion,this dissertation takes computer simulation,theoretical modeling and analysis as technical means to abstract the interaction modes and behaviors of individuals in the network reasonably and establish the Simulation Model of the Interaction between the network topology and the spread of Public Opinion.The specific research content mainly from the following aspects:First of all,the research status and development trend of Internet public opinion are analyzed,and a common evolution model of the spread of public opinion and network topology is put forward.The simulation and analysis of the influence between network topology and the evolution of public opinion are carried out.Secondly,According to the general framework of the co evolution of network topology and public opinion,the paper designs the interaction rules of the two.This paper on the network topology with time evolution,public opinion with the time evolution,the influence of the freedom of speech communication on opinion evolution and network topology evolution such as direction,speed and time,and the influence of the size of the network on public opinion evolution speed is analyzed for the research.At the same time,it gives a substantial case analysis of the convergence effect of the evolution of public opinion.Thirdly,the paper gives a detailed introduction of the algorithm to improve the clustering coefficient of BA scale-free networks.LAN will be introduced to scale-free network algorithm to improve the clustering of scale-free networks,which can establish the old inter node edge connecting mechanism,and it will be simulated in the MATLAB,the experimental results show that the LAN is joined to increase the old nodes side connection can improve the clustering of scale-free networks.Finally,the paper summarizes the above research,evaluates the evolution trend of the network public opinion and the change of network topology,and puts forward some suggestions for prevention and control of public opinion,which is the direction of later research.