A Social Activity-Based Control Model for Rumor Propagation

In this paper, we introduce the concept of “social activity” to describe individual behavior on social networks, acknowledging its potential impact on rumor propagation within complex networks. With this in mind, we develop a dynamic model of rumor propagation based on social behavior and analyze the influence of various parameters on the scale of rumors through static comparison. Using this model, we investigate an optimal solution that balances costs and benefits. Numerical simulations and comparative experiments demonstrate the practical value of these findings for strategies aimed at suppressing rumors.