SSIC model: A multi-layer model for intervention of online rumors spreading

文献类型: 外文期刊

第一作者: Tian, Ru-Ya

作者: Tian, Ru-Ya;Zhang, Xue-Fu;Tian, Ru-Ya;Zhang, Xue-Fu;Liu, Yi-Jun

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关键词: Opinion supernetwork;SSIC model;Rumor intervention;Modeling and simulation

期刊名称:PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS ( 影响因子:3.263; 五年影响因子:2.866 )

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收录情况: SCI

摘要: SIR model is a classical model to simulate rumor spreading, while the supernetwork is an effective tool for modeling complex systems. Based on the Opinion SuperNetwork involving Social Sub-network, Environmental Sub-network, Psychological Sub-network, and Viewpoint Sub-network, drawing from the modeling idea of SIR model, this paper designs super SIC model (SSIC model) and its evolution rules, and also analyzes intervention effects on public opinion of four elements of supernetwork, which are opinion agent, opinion environment, agent's psychology and viewpoint. Studies show that, the SSIC model based on supernetwork has effective intervention effects on rumor spreading. It is worth noting that (i) identifying rumor spreaders in Social Sub-network and isolating them can achieve desired intervention results, (ii) improving environmental information transparency so that the public knows as much information as possible to reduce the rumors is a feasible way to intervene, (iii) persuading wavering neutrals has better intervention effects than clarifying rumors already spread everywhere, so rumors should be intervened in properly in time by psychology counseling. (C) 2015 Elsevier B.V. All rights reserved.

分类号: O4

  • 相关文献

[1]Opinion data mining based on DNA method and ORA software. Tian, Ru-Ya,Wu, Lei,Liang, Xiao-He,Zhang, Xue-Fu,Tian, Ru-Ya,Zhang, Xue-Fu,Liang, Xiao-He. 2018

[2]Isolation, insertion, and reconstruction: Three strategies to intervene in rumor spread based on supernetwork model. Tian, Ru-Ya,Liu, Yi-Jun.

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