Social Network Public Opinion Evolution Model Based on Node Intimacy

Abstract

With the rapid development of social media in recent years, the social network platform has become an important platform for the current public opinion communication. The gathering of the crowds and the great communication power of the network platform not only promoted the wide flow of information, but also easily formed irrational discourse power, which led to the uncontrollable network public opinion. Studying the evolution of public opinion in the new situation is crucial to building a good network environment. Based on the Weisbuch-Deffuant opinion evolution model, this paper considers the important parameters of common friends among individuals, and combines the actual interactions to construct a new public opinion evolution model and conduct simulation experiments. The experimental results show that the trust threshold is inversely proportional to the evolution of the viewpoint of the final public opinion. The network structure plays an important role in the evolution of public opinion. The shorter social network evolution time with large clustering coefficient under the same group size and network. Under the same structure, the increase in the number of groups and the time of the evolution of public opinion are not simply proportional. The results of this study provide a new basis for government management.