A rumor propagation model based on content trust

Abstract

With the development of network technology, the rumors of network rumors are getting more and more serious, and the spread of network rumors has become a research hotspot. Firstly, based on the content characteristics of the information, this paper combines the three characteristics of rumors: subject universality, impact severity and event ambiguity, and establishes a content trust function. Secondly, the micro-Markov chain approximation method is used to establish the discreteness of rumor communication. The model, continuity model and continuous model based on trust function, and then calculate the corresponding rumor propagation threshold. Finally, through numerical simulation, the validity of the three properties of rumors is verified, and the validity of the model is proved. Good suppression of rumor spread.