Study on the cascading failure model of double-layer coupling network

Author(s):  
Zhang Liang ◽  
Jiang Guo-Ping
2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Ruru Xing ◽  
Qingfang Yang ◽  
Lili Zheng

For better describing the network cascading failure caused by random attacks such as traffic accidents, this paper introduces the ORNL-PSerc-Alaska (OPA) model to analyze the urban regional traffic network vulnerability. Firstly, the double-layer network model is built for analyzing the complex characteristics of the regional traffic network. Secondly, the cascading failure model is built to better describe the process of the network cascading failure under random attacks. Finally, by simulating the network failure process, the vulnerability of the traffic network will be pointed out, which provides the theoretical basis for avoiding the network cascading failure under random attacks.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 9493-9504
Author(s):  
Geng Zhang ◽  
Jiawen Shi ◽  
Shiyan Huang ◽  
Jiye Wang ◽  
Hao Jiang

Author(s):  
Yuxin Zhong ◽  
Xuemin Zhang ◽  
Shaowei Huang ◽  
Shengwei Mei ◽  
Xiaopeng Yu ◽  
...  

2018 ◽  
Vol 29 (06) ◽  
pp. 1850044 ◽  
Author(s):  
Zhichao Ju ◽  
Jinlong Ma ◽  
Jianjun Xie ◽  
Zhaohui Qi

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.


Author(s):  
Hengdao Guo ◽  
Herbert Ho-Ching Iu ◽  
Tyrone Fernando ◽  
Ciyan Zheng ◽  
Xi Zhang ◽  
...  

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