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Open AccessArticle

Uncovering the Dependence of Cascading Failures on Network Topology by Constructing Null Models

1
School of Computer, University of South China, Hengyang 421001, China
2
College of Information and Communication Engineering, Dalian Minzu University, Dalian 116600, China
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(11), 1119; https://doi.org/10.3390/e21111119
Received: 10 October 2019 / Revised: 8 November 2019 / Accepted: 14 November 2019 / Published: 15 November 2019
(This article belongs to the Special Issue Computation in Complex Networks)
Cascading failures are the significant cause of network breakdowns in a variety of complex infrastructure systems. Given such a system, uncovering the dependence of cascading failures on its underlying topology is essential but still not well explored in the field of complex networks. This study offers an original approach to systematically investigate the association between cascading failures and topological variation occurring in realistic complex networks by constructing different types of null models. As an example of its application, we study several standard Internet networks in detail. The null models first transform the original network into a series of randomized networks representing alternate realistic topologies, while taking its basic topological characteristics into account. Then considering the routing rule of shortest-path flow, it is sought to determine the implications of different topological circumstances, and the findings reveal the effects of micro-scale (such as degree distribution, assortativity, and transitivity) and meso-scale (such as rich-club and community structure) features on the cascade damage caused by deliberate node attacks. Our results demonstrate that the proposed method is suitable and promising to comprehensively analyze realistic influence of various topological properties, providing insight into designing the networks to make them more robust against cascading failures. View Full-Text
Keywords: complex networks; cascading failures; network topology; null models complex networks; cascading failures; network topology; null models
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MDPI and ACS Style

Ding, L.; Liu, S.-Y.; Yang, Q.; Xu, X.-K. Uncovering the Dependence of Cascading Failures on Network Topology by Constructing Null Models. Entropy 2019, 21, 1119.

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