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Rumour propagation considering the active inquiry factor on social media networks

机译:考虑到社交媒体网络的主动查询因素的谣言传播

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In this paper, considering the influence of the active inquiry factor, the dynamical behaviours of rumour spreading on social media networks is investigated by means of mean-field theory. The mean-field equations of two cases of link global addition and link local addition are derived to describe the propagation process of susceptible-infected-removed (SIR) rumour model, separately. Theoretical analysis shows that, considering the influence of the active inquiry factor, the higher the proportion that new links are added into the networks, the smaller the propagation critical threshold, the faster the transmission velocity of rumours. It is also found that with the increase of the number of new addition links, the number of nodes that finally accept rumours also increases. In addition, compared with the link global addition case, the number of nodes that are finally infected by rumours in the link local addition case is clearly reduced. Numerical simulations have confirmed the theoretical results.
机译:本文考虑了积极查询因素的影响,通过平均场理论研究了社交媒体网络上谣言传播的动态行为。推导出两个链路全局添加和链路本地添加的平均场方程,以描述易感感染(SIR)谣言模型的传播过程。理论分析表明,考虑到积极查询因素的影响,新链路中添加到网络中的比例越高,传播临界阈值越小,传闻的传动速度越快。还发现,随着新加法链路的数量的增加,最终接受谣言的节点的数量也会增加。另外,与链接全局添加案例相比,在链接本地添加案例中最终被谣言感染的节点的数量明显减少。数值模拟已经证实了理论结果。

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