Group Opinion Evolution Model and Analysis Based on Heterogeneous Individuals

Abstract

The occurrence of emergencies and hot events often becomes the focus of attention in a short period of time, which brings massive Internet public opinions. How to correctly understand the mechanism of public opinion evolution is of great significance for ensuring objective public opinion orientation. In this paper, we build an opinion evolution model of heterogeneous individuals, combined with the interaction process of user opinions in the real network. Through simulation experiments, we discuss the impact of various parameters and different cases. The results show that compared with the same trust threshold, it is more difficult for the whole group to reach consensus when the trust threshold is different; the acceptance of opinion can have a significant effect on the number of opinion clusters and the convergence time; heterogeneity in individuals will promote better aggregation of group opinions. This model can explain more conscious opinion evolution in real life and has a significance that effectively guides public opinion.