Preventing rumor spreading on small-world networks

Preventing rumor spreading on small-world networks
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防止谣言在小世界网络上传播

DOI:
10.1007/s11424-011-8303-1
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发表时间:
2011-06-01
影响因子:
2.1
通讯作者:
Jin, Xiaogang
Jin, Xiaogang
中科院分区:
数学3区
文献类型:
--
作者:
Huang, Jinyu;Jin, Xiaogang

文献摘要

被引文献

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由于有害谣言的传播会严重危害社会,因此研究可以有效防止有害谣言传播的策略非常有价值。为了进行这项研究,作者修改了SIR模型来描述网络上的谣言传播,并应用两种主要的免疫策略,即随机免疫和有针对性的免疫谣言模型的小世界网络。作者发现,当网络的平均度较小时,这两种策略都是有效的,而当平均度较大时,这两种策略都不能有效地防止谣言传播。在后一种情况下,作者提出了一种新的策略,通过降低谣言的可信度,并同时应用随机或有针对性的免疫。数值仿真表明,该策略在平均度较大的小世界网络中能够有效地防止谣言传播。
Since the spreading of harmful rumors can deeply endanger a society, it is valuable to investigate strategies that can efficiently prevent hazardous rumor propagation. To conduct this investigation, the authors modify the SIR model to describe rumor propagation on networks, and apply two major immunization strategies, namely, the random immunization and the targeted immunization to the rumor model on a small-world network. The authors find that when the average degree of the network is small, both two strategies are effective and when the average degree is large, neither strategy is efficient in preventing rumor propagation. In the latter case, the authors propose a new strategy by decreasing the credibility of the rumor and applying either the random or the targeted immunization at the same time. Numerical simulations indicate that this strategy is effective in preventing rumor spreading on the small-world network with large average degree.