Identifying Influential Rumor Spreader in Social Network
Identifying Influential Rumor Spreader in Social Network
复制标题
DOI：
10.1155/2019/8938195
复制
发表时间：
2019-05
影响因子：
1.4
通讯作者：
Ruixia Zhang;Deyu Li
中科院分区：
文献类型：
--
作者：
Ruixia Zhang;Deyu Li
识别有影响力的谣言传播者对于预防和控制谣言传播具有重要意义。本文在四个真实的社交网络上，基于经典的谣言模型，结合一对多传播模式，通过Monte Carlo模拟研究了传播率较小时谣言的传播。首先，根据网络特性对网络节点进行分层。如果节点的度中心性系数为正，则按度中心性对网络节点进行分层，度大的节点位于高层。当阻尼系数为负值时，采用K壳法对网络节点进行分层，Ks值大的节点位于较高的层中。然后，在不同的层节点的性能作为谣言的起源和作为知情的节点进行了研究。我们发现，传播规模较大，并在较短的时间内达到峰值流行的谣言时，在较高层的节点作为起源。此外，当高层节点不是谣言的起源时，它们更有可能被通知，并且它们被通知得更快，并且它们更快地终止传播。也就是说，他们的出席更有利于传播规模，高峰患病率和高峰患病率的到来时间。该结论可为控制谣言传播或加强信息传递提供有力的理论支持。
It is of great significance to identify influential rumor spreaders for preventing and controlling the rumor propagation. In this paper, on four real social networks, based on the classical rumor model and combining one-to-many modes of propagation, we investigate the rumor propagation by Monte Carlo simulations when the spreading rate is small. Firstly, we layer the network nodes according to network characteristics. If the assortative coefficient is positive, we layer the network nodes by the degree centrality and the nodes with large degree are in high layers. If the assortative coefficient is negative, we layer the network nodes by the K-Shell method and the nodes with large Ks value are in high layers. Then the performance of nodes in different layers as origination of rumors and as informed nodes is investigated. We find that the propagation size is larger and the peak prevalence of the rumor is reached in a shorter time when the nodes in higher layers act as origination. Moreover, when the nodes in higher layer are not the origination of the rumor, they are more likely to be informed and they are informed more faster, and they terminate propagation faster. That is, their attendance is more beneficial to propagation size, peak prevalence, and the arrival time of peak prevalence. The conclusion can provide powerful theoretical support for controlling rumor propagation or enhancing information transmission.