Effect of Global and Local Refutation Mechanism on Rumor Propagation in Heterogeneous Network

Abstract

In the process of rumors propagation, the behavior of individuals to propagation or refutation is not only influenced by the surrounding global environment but also the local environment. In this paper, a modified rumor propagation model is proposed considering the global and local effects of the rumor refutation mechanism and the activity rate of individuals in a heterogeneous network, and the dynamics process of the rumor propagation is derived by using the mean-field equation. Combining theoretical proving and simulation analysis, it shows that the critical threshold of rumor propagation has a great relationship with individual activity rates and global and local effects of the rumor refutation mechanism. The greater the government’s efforts to refute rumors, the lower the critical threshold of rumor propagation and the smaller the final rumor size. While relatively, people are much more likely to believe the global rumor refutation information taken with official information, local rumor refutation information has little influence on rumor propagation.

A multi-blockchain system application based on improved PBFT consensus mechanism for online rumor co-governance

“…Considering the discrimination and confrontation mechanism between rumors and truth, Wang et al proposed a 2SIH2R rumor propagation model, and the experiment proved that the earlier the truth was published, the more effective the rumor containment was [5] . Through the analysis of the global and local effects of rumors refuted mechanism and the active rate of the individuals in the heterogeneous network, Huo et al proposed an improved rumor spreading model, the experiment shows that the government posts, the more the spread of rumors, the lower the critical threshold, rumors of the final size is smaller, but the partial information have less effect on the rumor spreading rumors [6] .…”

SEIOR Rumor Propagation Model Considering Hesitating Mechanism and Different Rumor-Refuting Ways in Complex Networks

“…Wang et al [20] considered a containment mechanism and forgetting mechanism in the propagation of network information and believed that infected nodes would become immune nodes due to the containment mechanism. Since then, more and more scholars have proposed different rumor propagation mechanisms, such as the hesitating mechanism [21,22], trust mechanism [23], counterattack mechanism [24,25], recurrence mechanism [26], and propagation mechanism integrating multiple mechanisms [27].…”