Public opinion propagation model and simulation based on Impact model and improved SIR

Abstract:
With the development of the self-media industry, the information received by users become complex and diverse, but at the same time the problem of rumors has become more serious. Considering that public opinion is often accompanied by positive and negative information, and that different fields are often dominated by opinion leaders, the author proposes a Susceptible Clarify Infected Recovered (SCIR) model of the influence of opinion leaders in the field of positive and negative news communication based on the classic Susceptible Infected Recovered (SIR) model. Moreover, this model is based on the characteristics of the subject and uses the principle of system dynamics to simulate the various factors affecting the spread of public opinion. The simulation results show that this model is more consistent with the actual public opinion dissemination process than the SIR model. As a result, a control experiment is conducted to analyze the process of public opinion communication through simulation experiments and provide theoretical suggestions for positive news dissemination leaders.