Research on cascading failure in multilayer network with different coupling preference
Yong Zhang (),
Lei Jin and
Xiao Juan Wang ()
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Yong Zhang: Beijing University of Posts and Telecommunications, Electronic Engineering Institute, Beijing 100876, P. R. China
Lei Jin: Beijing University of Posts and Telecommunications, Electronic Engineering Institute, Beijing 100876, P. R. China
Xiao Juan Wang: Beijing University of Posts and Telecommunications, Electronic Engineering Institute, Beijing 100876, P. R. China
International Journal of Modern Physics C (IJMPC), 2017, vol. 28, issue 04, 1-19
Abstract:
This paper is aimed at constructing robust multilayer networks against cascading failure. Considering link protection strategies in reality, we design a cascading failure model based on load distribution and extend it to multilayer. We use the cascading failure model to deduce the scale of the largest connected component after cascading failure, from which we can find that the performance of four kinds of load distribution strategies associates with the load ratio of the current edge to its adjacent edge. Coupling preference is a typical characteristic in multilayer networks which corresponds to the network robustness. The coupling preference of multilayer networks is divided into two forms: the coupling preference in layers and the coupling preference between layers. To analyze the relationship between the coupling preference and the multilayer network robustness, we design a construction algorithm to generate multilayer networks with different coupling preferences. Simulation results show that the load distribution based on the node betweenness performs the best. When the coupling coefficient in layers is zero, the scale-free network is the most robust. In the random network, the assortative coupling in layers is more robust than the disassortative coupling. For the coupling preference between layers, the assortative coupling between layers is more robust than the disassortative coupling both in the scale free network and the random network.
Keywords: Multilayer network; distribution strategy; betweenness; coupling preference (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)
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DOI: 10.1142/S0129183117500504
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