Public Opinion Divergence Based on Multi-agent Communication Topology Interconnection

Abstract

Nowadays, public opinion has become a hot topic in society. Correct knowledge and understanding of the evolution process of public opinion communication can guide mass emergencies accordingly. In this paper, a series of Matlab simulations are carried out according to the evolution process of group public opinion and the process of guiding group (multi-agent) guided by public opinion. First of all, based on the traversing simulation of the number of multi-agents from N = 15 to N = 50 and the number of communication topology interconnections from K = 1 to K = N − 1, the general conditions of bifurcation in the clustering process of multi-agents are summarized. Secondly, the bifurcation phenomenon is controlled by introducing single or multiple fixed individuals or changing the initial state of the cluster in the multi-agent cluster process simulation. Finally, in view of the actual social situation, the changing K value in the whole process is introduced, and the traversing simulation is carried out.