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谣言免疫问题对抑制在线社交网络中谣言传播有积极意义,为探索不同边免疫策略对谣言传播的影响,综合不同类型三元组结构对节点的影响,提出一种新的边免疫策略—三元组边免疫策略。分别对真实的在线社交网络和人工合成的无标度网络进行实例仿真,对比度-度边免疫、介数-介数边免疫、特征向量-特征向量边免疫、边介数免疫和三元组边免疫等边免疫策略,结果发现当谣言感染概率较低时,三元组边免疫的效果不显著;当感染概率较高时,三元组边免疫效果较好,其效果仅次于度-度边免疫;此外,也发现三元组边权重值与边的传播影响力之间的相关性也较强。本文工作对谣言抑制问题有一定指导价值。
The issue of rumor immunization is of positive significance in suppressing the spread of rumors in online social networks. In order to explore the impact of different immunization strategies on the spread of rumors and synthesize the impact of different types of triples on nodes, a new immunization strategy, ternary Group side immunization strategy. Case-based simulations of real online social networks and synthetic scale-free networks are carried out. Contrast-degree edge immune, meso-medural edge immune, eigenvector-eigenvector edge immune, edge mediated immune and triadian edge Immune isoproterenol immunization strategy, the results showed that when the rumor infection probability is low, the triad effect of side immunization is not significant; when the probability of infection is higher, the triad side of the immune effect is better, the effect is second only to degree - degree In addition, we found that there is also a strong correlation between the weighted value of the triad and the influence of the spread of the edge. This work has certain guiding value on the suppression of rumors.