Multi-layer topic interaction propagation model and simulation considering opinion interaction

Existing research on the dissemination and evolution of online public opinion focuses more on a single original or derivative topic or on treating the evolution process of user opinions and information dissemination as independent research objects. However, the evolution of opinions also affects the process of public opinion dissemination. When multiple derivative topics exist, the dissemination of public opinion will have new dynamic evolution characteristics. Thus, we propose a multi-layer topic interaction propagation model (OI-SEIRI model) considering opinion interaction. When multiple derivative topics appear, we divide the public opinion propagation of multiple topics into multiple independent propagation topic layers and construct opinion interaction rules and topic information transmission mechanisms within and between layers. By dynamically setting the probability of state transition and solving the propagation equilibrium point and propagation threshold, we clarified the impact of different factors on the trend of public opinion dissemination. Finally, the experimental results show that the OI-SEIRI model can effectively and more accurately describe the interactive information dissemination of multiple topics. The number of derivative topics, topic correlation relationships, opinion interaction behavior, and social roles can all impact the dissemination process.