SIS Rumor Spreading Model With Population Dynamics in Online Social Networks

Abstract

Based on the characteristics of rumor spreading in online social networks, this paper proposes a new rumor spreading model. This is a SIS rumor spreading model in online social networks that combines the transmission dynamics and population dynamics so that the impact of changing number of online social network users and user activity is considered. We numerically simulate the rumor spreading process. The results of numerical simulation show that the improved SIS model can successfully characterize the rumor spreading behavior in online social networks. We also give the effective strategies of curbing the rumor spreading in online social networks.