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Epidemic spreading on weighted complex networks

机译:加权复杂网络上的流行病传播

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Nowadays, the emergence of online services provides various multi-relation information to support the comprehensive understanding of the epidemic spreading process. In this Letter, we consider the edge weights to represent such multi-role relations. In addition, we perform detailed analysis of two representative metrics, outbreak threshold and epidemic prevalence, on SIS and SIR models. Both theoretical and simulation results find good agreements with each other. Furthermore, experiments show that, on fuly mixed networks, the weight distribution on edges would not affect the epidemic results once the average weight of whole network is fixed. This work may shed some light on the in-depth understanding of epidemic spreading on multi-relation and weighted networks.
机译:如今,在线服务的出现提供了各种多元关系信息,以支持对流行病传播过程的全面理解。在这封信中,我们考虑了边缘权重来表示这种多角色关系。此外,我们对SIS和SIR模型的两个代表性指标(暴发阈值和流行率)进行了详细分析。理论和仿真结果都发现彼此之间有很好的一致性。此外,实验表明,在完全混合网络上,一旦确定了整个网络的平均权重,边缘上的权重分布将不会影响流行病的结果。这项工作可能有助于深入了解多重关系和加权网络上的流行病传播。

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