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

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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… Click to show full 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: failure model; scale free; cascading failure; free networks; failure

Journal Title: International Journal of Modern Physics C
Year Published: 2018

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