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| Research on Novel Evolution Model of Rumor Propagation on Social Network |
| WU Xiao, LIU Wanping, YANG Wu, LU Ling, LIU Xiaoyang, HUANG Shiwen
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| School of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054,China |
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Abstract In this paper, the internet users on social network based on the dynamics model theory, are divided into four major categories: Unreceived users, Received users, Rumor Believe users and Rumor Deny users. We research the propagation regulations of network rumors based on the mean field theory, and then propose a new model, which applies to rumor spreading of online social network. According to the analysis of the dynamics of the model and numerical simulation experiments, the research results obtain the regulations of network rumor propagation, indicate what kind of measures should be taken in corresponding states, and demonstrate how to quiet down quickly the spread of rumor by controlling some specific factors.
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Received: 10 May 2018
Published: 09 January 2019
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