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Cooperate epidemic spreading on multiplex networks with heterogeneous population

机译:用异构人群协作对多路复用网络的流行传播

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Cooperate epidemic spreading dynamics has attracted much attention from the field of network science. In this paper, we study the cooperate epidemic spreading dynamics on multiplex networks with heterogeneous populations, which induces the heterogeneous coinfection susceptibility. We propose a spreading model to describe the evolution mechanisms. To predict the final state of the epidemic outbreak size, a generalized bond percolation theory is suggested. Through numerical simulations and theoretical analyses, we find that the system exhibits a discontinuous phase transition for large average and small variance of the distribution of coinfection susceptibility on ER-ER multiplex networks, while the phase transition is continuous on SF-SF networks. In addition, the final outbreak size increases with the average coinfection susceptibility and decreases with the variance of the coinfection susceptibility. Our suggested bond percolation theory can well predict the numerical simulations.
机译:合作流行病传播动态吸引了网络科学领域的巨大关注。 在本文中,我们研究了异质群体的多重网络合作流行扩散动力学,诱导异质繁殖易感性。 我们提出了一种扩展模型来描述进化机制。 为了预测流行病爆发规模的最终状态,提出了一般化的粘接理论。 通过数值模拟和理论分析,发现该系统具有不连续的相位过渡,用于在ER-ER多路复用网络上的辛纤维敏感性分布的较大平均和小方差,而相位转换是在SF-SF网络上连续的。 此外,最终爆发尺寸随着平均繁殖易感性而增加,随着繁殖易感性的方差而降低。 我们建议的债券渗透理论可以很好地预测数值模拟。

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