article · International Journal of Modern Physics C · 2018

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

Zhichao Ju, Jinlong Ma, Jianjun Xie, Zhaohui Qi

Cited by 4Abstract and details only

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 ([Formula: see text]), the proportion of collapsed edges ([Formula: see text]), the proportion of collapsed nodes ([Formula: see text]), the number of nodes in the largest connected component ([Formula: see text]) and the number of the connected component ([Formula: see text]). 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.

Cite this paper

APA 7

Ju, Z., Ma, J., Xie, J., & Qi, Z. (2018). Cascading failure model for improving the robustness of scale-free networks. International Journal of Modern Physics C, 29(06), 1850044. https://doi.org/10.1142/s0129183118500444

MLA 9

Ju, Zhichao, et al. “Cascading failure model for improving the robustness of scale-free networks.” International Journal of Modern Physics C, vol. 29, no. 06, 2018, p. 1850044, https://doi.org/10.1142/s0129183118500444.

Chicago

Ju, Zhichao, Jinlong Ma, Jianjun Xie, and Zhaohui Qi. 2018. “Cascading failure model for improving the robustness of scale-free networks.” International Journal of Modern Physics C 29 (06): 1850044. https://doi.org/10.1142/s0129183118500444.

Harvard

Ju, Z. et al. (2018) ‘Cascading failure model for improving the robustness of scale-free networks’, International Journal of Modern Physics C, 29(06), p. 1850044. Available at: https://doi.org/10.1142/s0129183118500444.

BibTeX

@article{ju2018cascading,
  title = {{Cascading failure model for improving the robustness of scale-free networks}},
  author = {Ju, Zhichao and Ma, Jinlong and Xie, Jianjun and Qi, Zhaohui},
  journal = {International Journal of Modern Physics C},
  volume = {29},
  number = {06},
  pages = {1850044},
  year = {2018},
  doi = {10.1142/s0129183118500444}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.