Cascading failure model for improving the robustness of scale-free networks

Zhichao Ju (), Jinlong Ma, Jianjun Xie () and Zhaohui Qi ()
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Zhichao Ju: College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang 050024, P. R. China
Jinlong Ma: #x2020;School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
Jianjun Xie: College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang 050024, P. R. China
Zhaohui Qi: #x2021;School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, P. R. China

International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 06, 1-16

Abstract: To control the spread of cascading failure on scale-free networks, we propose a new model with the betweenness centrality and the degrees of the nodes which are combined. The effects of the parameters of the edge weight on cascading dynamics are investigated. Five metrics to evaluate the robustness of the network are given: the threshold parameter (TC), the proportion of collapsed edges (CFE), the proportion of collapsed nodes (CFN), the number of nodes in the largest connected component (SG) and the number of the connected component (SC). Compared with the degrees of nodes’ model and the betweenness of the nodes’ model, the new model could control the spread of cascading failure more significantly. This work might be helpful for preventing and mitigating cascading failure in real life, especially for small load networks.

Keywords: Scale-free networks; cascading failure; robustness; betweenness centrality (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0129183118500444

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