Anti-rumor dynamics and emergence of the timing threshold on complex network
Anti-rumor dynamics and emergence of the timing threshold on complex network
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DOI：
10.1016/j.physa.2014.06.013
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发表时间：
2014-10-01
影响因子：
3.3
通讯作者：
Xiang, Gang
中科院分区：
文献类型：
--
作者：
Ji, Kaihua;Liu, Jiawei;Xiang, Gang
在谣言动力学的基础上提出了反谣言动力学，并通过复杂网络的平均场方程和数值模拟探讨了反谣言动力学的特点。我们研究的主要指标是打击谣言的时机效应和影响节点的识别，这是有效的打击谣言策略可能关注的问题。结果表明，反谣言动态存在鲁棒的时间依赖性，并且在谣言开始传播后的不同延迟时间启动反谣言会产生时间阈值。在一系列Barabasi-Albert无标度网络（BA网络）上进一步验证了时间阈值作为一个关键特征，其中反谣言动态明显出现。定时阈值是一个与网络相关的量，其值随着BA网络平均程度的增加而减小，直至接近于零。同时，内核性也构成了更好的拓扑描述符来识别集线器。我们的研究结果将有助于理解谣言和反谣言的传播行为，并为进一步研究复杂网络中多信息的相互作用提供可能的途径。(C) 2014 Elsevier B.V.版权所有
Anti-rumor dynamics is proposed on the basis of rumor dynamics and the characteristics of anti-rumor dynamics are explored by both mean-field equations and numerical simulations on complex network. The main metrics we study are the timing effect of combating rumor and the identification of influential nodes, which are what an efficient strategy against rumor may concern about. The results indicate that, there exists robust time dependence of anti-rumor dynamics and the timing threshold emerges as a consequence of launching the anti-rumor at different delay time after the beginning of rumor spreading. The timing threshold as a critical feature is further verified on a series of Barabasi-Albert scale-free networks (BA networks), where anti-rumor dynamics arises explicitly. The timing threshold is a network-dependent quantity and its value decreases as the average degree of the BA network increases until close to zero. Meanwhile, coreness also constitutes a better topological descriptor to identify hubs. Our results will hopefully be useful for the understanding of spreading behaviors of rumor and anti-rumor and suggest a possible avenue for further study of interplays of multiple pieces of information on complex network. (C) 2014 Elsevier B.V. All rights reserved.