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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >SFTRD: A novel information propagation model in heterogeneous networks: Modeling and restraining strategy
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SFTRD: A novel information propagation model in heterogeneous networks: Modeling and restraining strategy

机译:SFTRD:异构网络中的新型信息传播模型:建模与抑制策略

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With the rapid growth of mobile devices, the platform of online social networks plays a prominent field for information spreading whether they are objective facts or fake news. To some degree, it can enable people to obtain more information faster and easier than before. However, the dynamical process of different information diffusion may generate different social influence. Especially, the negative information spreading may lead to economic losses or bring a serious social security threat. To explore the same information diffusion to different aspects, we propose an information propagation model SFTRD based on heterogeneous OSNs. SFTRD model not only considers the evolution of the same information, and also considers how to block the negative information spreading widely. Based on the theoretical analysis, the stability of equilibrium is performed by suitable analytical methods. The global asymptotic stability of the endemic equilibrium is studied by a geometric approach. The restrain strategies of spreading truth or blocking negative information are discussed by the optimal control theoretical. An optimal control method of SFTRD model is formulated, which minimizes the rumor-restraining cost within an expected time period. To validate the theoretical analysis of the proposed model, a set of numerical experiments are carried out with different parameter settings. Based on the theoretical analysis and numerical experiments, we can find that the process of information propagation is affected by various factors and we should explorer different inhibition strategies. (C) 2019 Elsevier B.V. All rights reserved.
机译:随着移动设备的快速增长,在线社交网络的平台扮演着一个突出的领域,以便传播它们是否是客观事实或假新闻。在某种程度上,它可以让人们获得比以前更快和更容易的信息。然而,不同信息扩散的动态过程可能产生不同的社会影响。特别是,负面信息传播可能导致经济损失或带来严重的社会保障威胁。为了探索与不同方面的相同信息扩散,我们提出了一种基于异构OSN的信息传播模型SFTRD。 SFTRD模型不仅考虑相同信息的演变,还考虑如何阻止广泛传播的负面信息。基于理论分析,通过合适的分析方法进行平衡的稳定性。通过几何方法研究了流行均衡的全局渐近稳定性。通过最佳控制理论讨论了传播真理或阻塞否定信息的抑制策略。制定了SFTRD模型的最佳控制方法,其最小化了预期时间内的谣言限制成本。为了验证所提出的模型的理论分析,使用不同的参数设置进行一组数值实验。基于理论分析和数值实验,我们可以发现信息传播过程受各种因素的影响,我们应该探讨不同的抑制策略。 (c)2019 Elsevier B.v.保留所有权利。

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