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基于图谱的多重网络稳健性测度。

Robustness measurement of multiplex networks based on graph spectrum.

机构信息

College of Science, National University of Defense Technology, Changsha, Hunan 410073, People's Republic of China.

International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, Guangdong 519087, People's Republic of China.

出版信息

Chaos. 2023 Feb;33(2):021102. doi: 10.1063/5.0124201.

Abstract

Networks can provide effective representations of the relationships between elements in complex systems through nodes and links. On this basis, relationships between multiple systems are often characterized as multilayer networks (or networks of networks). As a typical representative, a multiplex network is often used to describe a system in which there are many replaceable or dependent relationships among elements in different layers. This paper studies robustness measures for different types of multiplex networks by generalizing the natural connectivity calculated from the graph spectrum. Experiments on model and real multiplex networks show a close correlation between the robustness of multiplex networks consisting of connective or dependent layers and the natural connectivity of aggregated networks or intersections between layers. These indicators can effectively measure or estimate the robustness of multiplex networks according to the topology of each layer. Our findings shed new light on the design and protection of coupled complex systems.

摘要

网络可以通过节点和链路为复杂系统中元素之间的关系提供有效的表示。在此基础上,多个系统之间的关系通常被描述为多层网络(或网络的网络)。作为一个典型的代表,复网经常被用来描述一个系统,其中在不同的层中元素之间存在许多可替换或依赖的关系。本文通过推广从图谱计算的自然连通性,对不同类型的复网的鲁棒性度量进行了研究。对模型和真实复网的实验表明,由连通或依赖层组成的复网的鲁棒性与聚合网络或层间交点的自然连通性之间存在密切的相关性。这些指标可以根据各层的拓扑结构有效地衡量或估计复网的鲁棒性。我们的发现为耦合复杂系统的设计和保护提供了新的思路。

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