Harper Robert, Tee Philip
Science Group, Moogsoft Ltd., London, UK.
Science Group, Moogsoft Inc., San Francisco, CA USA.
Appl Netw Sci. 2021;6(1):94. doi: 10.1007/s41109-021-00432-0. Epub 2021 Nov 25.
The structure of complex networks has long been understood to play a role in transmission and spreading phenomena on a graph. Such networks form an important part of the structure of society, including transportation networks. As society fights to control the COVID-19 pandemic, an important question is how to choose the optimum balance between the full opening of transport networks and the control of epidemic spread. In this work we investigate the interplay between network dismantling and epidemic spread rate as a proxy for the imposition of travel restrictions to control disease spread. For network dismantling we focus on the weighted and unweighted forms of metrics that capture the topological and informational structure of the network. Our results indicate that there is benefit to a directed approach to imposing travel restrictions, but we identify that more detailed models of the transport network are necessary for definitive results.
长期以来，人们一直认为复杂网络的结构在图上的传播和扩散现象中发挥着作用。这类网络构成了社会结构的重要组成部分，包括交通网络。在社会努力控制新冠疫情之际，一个重要问题是如何在交通网络全面开放与控制疫情传播之间找到最佳平衡。在这项工作中，我们研究网络拆解与疫情传播速率之间的相互作用，以此作为实施旅行限制以控制疾病传播的一种替代方法。对于网络拆解，我们关注的是能够捕捉网络拓扑和信息结构的加权和非加权形式的指标。我们的结果表明，采用定向方法实施旅行限制是有好处的，但我们也发现，要得到确切结果，需要更详细的交通网络模型。
