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提高空间网络鲁棒性的关键合作范围。

Critical cooperation range to improve spatial network robustness.

作者信息

Louzada Vitor H P, Araújo Nuno A M, Verma Trivik, Daolio Fabio, Herrmann Hans J, Tomassini Marco

机构信息

Computational Physics, IfB, ETH Zurich, Zurich, Switzerland.

Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal; Centro de Física Teórica e Computacional, Universidade de Lisboa, Lisboa, Portugal.

出版信息

PLoS One. 2015 Mar 20;10(3):e0118635. doi: 10.1371/journal.pone.0118635. eCollection 2015.

Abstract

A robust worldwide air-transportation network (WAN) is one that minimizes the number of stranded passengers under a sequence of airport closures. Building on top of this realistic example, here we address how spatial network robustness can profit from cooperation between local actors. We swap a series of links within a certain distance, a cooperation range, while following typical constraints of spatially embedded networks. We find that the network robustness is only improved above a critical cooperation range. Such improvement can be described in the framework of a continuum transition, where the critical exponents depend on the spatial correlation of connected nodes. For the WAN we show that, except for Australia, all continental networks fall into the same universality class. Practical implications of this result are also discussed.

摘要

一个强大的全球航空运输网络(WAN)是指在一系列机场关闭的情况下,能将滞留乘客数量降至最低的网络。基于这个现实例子,我们在此探讨空间网络的稳健性如何从地方参与者之间的合作中获益。我们在遵循空间嵌入网络的典型约束条件下,在一定距离(合作范围)内交换一系列链路。我们发现,只有当合作范围超过临界值时,网络的稳健性才会得到改善。这种改善可以在连续相变的框架内进行描述,其中临界指数取决于相连节点的空间相关性。对于全球航空运输网络,我们表明,除了澳大利亚,所有大陆网络都属于同一普适类。我们还讨论了这一结果的实际意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4603/4391338/bcc98df8ce01/pone.0118635.g001.jpg

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