Modeling and Simulation Research of Interactive Public Opinion Evolution under Multi-Agent Interventions

To study the interactive impact and multi-agent intervention effect caused by multiple public opinion events, a SI3R communication model is proposed in this paper. Based on evolution influence paths of interventions, dynamic equation under formulated; equilibrium points are calculated stability validated; assignment functions constructed. Further, real data case obtained set as initial simulation parameters, control measures numerically simulated effects comprehensive put forward to suggestions for management. Simulation results show that can simulate propagation trend imitate each agent. Compared with traditional transmission infection model, it provides an method combined actual events. Taking interaction events into account, new perspective formulation supervision strategies be provided.