A new rumor propagation model and control strategy on social networks

Abstract

In this paper, we propose a new SPNR model and identify the concrete propagation relationships and obtain the spreading threshold. We evaluate the proposed model with simulations and compare the simulation results with real data on Sina Weibo, the largest micro-blogging tool in China. The results show that the new model is effective for capturing the rumor spreading in real social networks. To obtain effective rumor control strategy, we further analyze the key factors that affect the maximum value of steady state, the point of decline, and the life cycle of a rumor. These results help us develop new rumor control strategies.