Public Opinion Divergence Based on Multi-agent Communication Topology Interconnection
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.
KeywordsPublic opinion divergence Multi-agent system Cluster Emergence Bifurcation
This research reported herein was supported by the NSFC of China under Grants No.71571091 and 71771112.
- 1.Bernays, E.L.: Crystallizing public opinion. Boni and Liverright, New York (1923)Google Scholar
- 2.Cluster self-organizing motion control of swarm robot system. Tianyun Huang. Dalian University of Technology (2015)Google Scholar
- 3.Cheng, D.Z., Chen, H.: From clustering to social behavior control. Sci. Technol. News (8), 4/7.4 (2004)Google Scholar
- 5.Zhao, Y., Kou, G., Peng, Y., Li, S.: Modeling and analysis of public opinion communication at the level of inconsistent trust in group emergencies. Theory Pract. Syst. Eng. 32(05), 971–976 (2012)Google Scholar