Epidemic spreading in community networks
Epidemic spreading in community networks
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DOI：
10.1209/epl/i2004-10550-5
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发表时间：
2005-10-01
期刊：
影响因子：
--
通讯作者：
Hu, BB
中科院分区：
文献类型：
--
作者：
Liu, ZH;Hu, BB
社交网络具有社区结构。为了理解社区结构对流行病传播的影响，本文提出了一个简化的社区网络模型，并对该模型中的流行病传播进行了研究。研究发现，与随机网络相比，社区网络具有更广泛的程度分布、更小的疫情爆发阈值和更大的流行度，使疫情保持地方性。给出了流行阈值的计算公式，并通过数值模拟进行了验证。
Social networks have the structure of communities. To understand how the community structure affects epidemic spreading, we present a simplified model of community network, and investigate the epidemic propagation in this model. We find that, compared to the random network, the community network has a broader degree distribution, a smaller threshold of epidemic outbreak, and more prevalence to keep the outbreak endemic. The formulae of epidemic threshold are given and confirmed by numerical simulations.