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Epidemics spreading in periodic double layer networks with dwell time

机译:在与停留时间的周期性双层网络中传播的流行病

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Epidemics spread in human contact networks, which evolve with diurnal and night time periodically and can be regarded as multilayer networks with different dwell time. The topologies of their subnetworks are different from each other, and the stabilities of their dynamic systems are also different. The stabilities of these switched systems, containing stable and unstable subsystems, not only depend on the stability of each subsystem, but also the dwell time of each subsystem. Hence, their stabilities are generally associated with the dwell time, network structure, infection and recovery rate. What is the quantitative relationship among these variables in threshold condition? In this paper, we establish a periodic switched N-intertwined SIS model and obtain its threshold condition in double layer networks, then extend this threshold condition to multilayer networks. This threshold condition is vital to accurately understand the effect of dwell time on spreading result in network. Some simulation results also indicate the accuracy of our threshold condition. (C) 2019 Elsevier B.V. All rights reserved.
机译:流行病在人类联系网络中传播,这些网络定期随着日夜时间演变,并且可以被视为具有不同停留时间的多层网络。子网的拓扑互相不同,其动态系统的稳定性也不同。这些交换系统的稳定性,包含稳定和不稳定的子系统,不仅取决于每个子系统的稳定性,还取决于每个子系统的停留时间。因此,它们的稳定性通常与停留时间,网络结构,感染和回收率相关联。阈值条件中这些变量之间的定量关系是什么?在本文中,我们建立了周期性切换的N-Intertimined SIS模型,并在双层网络中获得其阈值状态,然后将该阈值条件扩展到多层网络。这种阈值条件对于准确地了解停留时间对网络传播结果的影响至关重要。一些仿真结果还表明了我们的阈值条件的准确性。 (c)2019 Elsevier B.v.保留所有权利。

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