The cross-networks impact analysis and assessment in multilayer interdependent networks: A case study of critical infrastructures

Fang Zhou, Yanchao Du (), Yongbo Yuan and Mingyuan Zhang ()
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Fang Zhou: Department of Construction Management, Dalian University of Technology, Dalian 116024, P. R. China
Yanchao Du: Department of Construction Management, Dalian University of Technology, Dalian 116024, P. R. China
Yongbo Yuan: Department of Construction Management, Dalian University of Technology, Dalian 116024, P. R. China
Mingyuan Zhang: Department of Construction Management, Dalian University of Technology, Dalian 116024, P. R. China

International Journal of Modern Physics C (IJMPC), 2019, vol. 30, issue 07, 1-13

Abstract: Critical infrastructures are tightly connected and extremely fragile multilayer coupled networks. This paper discusses the cross-networks impact of subnetworks and global network of networks on robustness by taking a critical infrastructures with three-layer interdependent networks as an example. The percolation theory is applied to capture the flow characteristics of cascading failures and evaluate the robustness of multilayer networks. And further discuss and compare the situation of each subnetwork affecting or being affected. The quantitative evaluation model of the interaction of multilayer networks is proposed based on cascading failures, where the influence expansion matrix and the dependency matrix are obtained. The results show that the power network has a high influence on other networks, and it is difficult to be affected. Meanwhile the influence ability of water network and gas network is limited.

Keywords: Cascading failures; interdependent multilayer networks; robustness analysis; influence matrix (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0129183119400072

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