Agent-based modeling and simulation of the public opinion propagation in the small-world network

This paper studied the modeling and simulation of the public opinion propagation in the small-world network. The public opinion information propagation characteristics were firstly analyzed, and different states of the people in the propagation environment were proposed. Based on that, this paper constructed the public opinion propagation model based on the agent modeling method, and proposed the social network based on the small world model, then this paper built the visualized simulation platform for the simulation of the public opinion propagation. The case study denotes that the proposed model can well reflect the people´s state transition situation on the impact of the public opinion information, and can therefore provide quantitative analysis for the information impact from different propagation channels, and shall be of significant meanings to the understanding of the public opinion information propagation mechanism in the small world and help the making of the optimized management and control plan in the future.