4.6 Article

Cascading failure model of scale-free topology for avoiding node failure

期刊

NEUROCOMPUTING
卷 260, 期 -, 页码 443-448

出版社

ELSEVIER
DOI: 10.1016/j.neucom.2017.04.042

关键词

Cascading failure; Load parameter; Node energy; Scale-free network

资金

  1. Independent Research Project Topic Category B, for Young Teachers, at Yanshan University, China [14LGB017]
  2. Yanshan University Doctoral Foundation [B867]

向作者/读者索取更多资源

In order to efficiently fortify the robustness of a scale-free network against cascading failure, a model of this phenomenon is proposed based on defining the load of a node with respect to both degree and betweenness centrality. Simultaneously, when the load is redistributed, an allocation proportion is ascertained according to both the loads and the energies of the nodes. After that, we obtain the relationship between the model parameters and the robustness of the network against the cascading failure with theoretical analysis, which also helps us determine the influence of the average network degree on cascading failure. Finally, the results of theoretical analysis are verified with simulation experiments. (C) 2017 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据