1. Cascading failure model of scale-free topology for avoiding node failure
- Author
-
Yan-Long Hu, Yu-Jing Deng, Rong-Rong Yin, and Hao-Ran Liu
- Subjects
Betweenness centrality ,Artificial Intelligence ,Robustness (computer science) ,Computer science ,Cognitive Neuroscience ,0103 physical sciences ,Scale-free network ,010306 general physics ,Topology ,01 natural sciences ,Cascading failure ,010305 fluids & plasmas ,Computer Science Applications - Abstract
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.
- Published
- 2017
- Full Text
- View/download PDF