Rumor Spreading Model with Trust Mechanism in Complex Social Networks

作者：Yaqi Wang, Xiaoyuan Yang, Yiliang Han, Xu An Wang · 发表于：Communications in Theoretical Physics · 年份：2013 · DOI：10.1088/0253-6102/59/4/21 · 被引用次数：128 · 研究领域：Opinion Dynamics and Social Influence、Complex Network Analysis Techniques、Misinformation and Its Impacts

In this paper, to study rumor spreading, we propose a novel susceptible-infected-removed (SIR) model by introducing the trust mechanism. We derive mean-field equations that describe the dynamics of the SIR model on homogeneous networks and inhomogeneous networks. Then a steady-state analysis is conducted to investigate the critical threshold and the final size of the rumor spreading. We show that the introduction of trust mechanism reduces the final rumor size and the velocity of rumor spreading, but increases the critical thresholds on both networks. Moreover, the trust mechanism not only greatly reduces the maximum rumor influence, but also postpones the rumor terminal time, which provides us with more time to take measures to control the rumor spreading. The theoretical results are confirmed by sufficient numerical simulations.