SEIR Model of Rumor Spreading in Online Social Network with Varying Total Population Size

SEIR Model of Rumor Spreading in Online Social Network with Varying Total Population Size

Suyalatu Dong;Yan-Bin Deng;Yong-Chang Huang

【期刊名称】《理论物理通讯（英文版）》 【年(卷),期】2017(068)010

【摘要】Based on the infectious disease model with disease latency,this paper proposes a new model for the rumor spreading process in online social network.In this paper what we establish an SEIR rumor spreading model to describe the online social network with varying total number of users and user deactivation rate.We calculate the exact equilibrium points and reproduction number for this model Furthermore,we perform the rumor spreading process in the online social network with increasing population size based on the original real world Facebook network.The simulation results indicate that the SEIR model of rumor spreading in online social network with changing total number of users can accurately reveal the inherent characteristics of rumor spreading process in online social network. 【总页数】8页(545-552) 【关键词】

【作者】Suyalatu Dong;Yan-Bin Deng;Yong-Chang Huang

【作者单位】College of Applied Sciences, Beijing University of Technology, Beijing 100124, China;College of Applied Sciences, Beijing

University of Technology, Beijing 100124, China;College of Applied Sciences, Beijing University of Technology, Beijing 100124, China 【正文语种】英文 【中图分类】 【相关文献】

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