Rumor dynamics with inoculations for correlated scale free networks

Anurag Singh, Y. N. Singh
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引用次数: 18

Abstract

We study the rumor spreading dynamics in complex networks, where degree correlations between the pair of nodes exist. An analytical description is provided that includes two vertices, degree-degree correlations in the dynamical evolution of the rumor spreading. In any social network, rumors can spread and may have undesirable effect. To control rumor spread, a certain fraction of nodes are inoculated against rumors. In this paper, the inoculation of nodes are done by random and targeted fashion with the variation of assortative coefficient in scale free networks. The new degree distributions of scale free networks have been calculated for both kind of inoculations. It has been observed that rumor threshold in targeted inoculation scheme is greater than the rumor threshold in the random inoculation scheme. In targeted inoculation scheme, rumor threshold for correlated networks is found to be smaller than in uncorrelated networks. Random inoculation is not that much effective for scale free networks. It is found that degree-degree correlation between nodes doesn't play any role in random inoculations. However, it is not true for targeted inoculation. The proposed hypothesis has also been verified by the simulation results.
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相关无标度网络的接种谣言动力学
本文研究了节点对之间存在度相关的复杂网络中谣言的传播动态。在谣言传播的动态演化过程中,给出了一个包含两个顶点度相关的分析描述。在任何社交网络中,谣言都会传播,并可能产生不良影响。为了控制谣言的传播,在一定比例的节点上接种谣言疫苗。在无标度网络中,节点接种采用随机定向的方式,随分类系数的变化而变化。计算了两种接种下新的无标度网络的度分布。有针对性接种方案的谣言阈值大于随机接种方案的谣言阈值。在针对性接种方案中,相关网络的谣言阈值小于不相关网络。随机接种对于无标度网络并不是很有效。结果表明,随机接种时,节点间的度相关关系不起作用。然而,定向接种并非如此。仿真结果也验证了所提出的假设。
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