CSRT rumor spreading model based on complex network

Rumors mislead judgments of people, affect economic development, and the stability of social order. The research on the rule of spreading rumors is significant and meaningful. This paper improves the traditional Barabasi-Albert scale-free network and proposes a network topology model that conforms to the characteristics of sharing social networks based on the complex network theory and the actual characteristics of sharing social networks. In addition, the credulous spider rational taciturn rumor propagation model is proposed by improving the credulous spider rational model, which solves the overspread problem of the traditional rumor propagation model. This paper further studies the influence of anxiety on the spread of rumors, and finds that the anxiety of audience is increasing with the spread degree of rumors.

Automated summary

This paper explores the rules and impacts of rumor spreading, proposing an improved propagation model and identifying a correlation between anxiety and the degree of rumor spread. The study also introduces a new network topology model for sharing social networks, addressing issues present in traditional models.