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Cascading failures in networks with the harmonic closeness under edge attack strategies

Author

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  • Hao, Yucheng
  • Wang, Yanhui
  • Jia, Limin
  • He, Zhichao

Abstract

The definition of the edge load is usually confined to the degree and the betweenness. To overcome the limitation, we adopt the harmonic closeness to define the initial load on the edge whose strength is controlled by a tunable parameter θ. It is found that in Barabási-Albert networks (BA networks), Erdos-Renyi networks (ER networks) with θ ≈ 7.6, and Newman-Watts networks(NW networks) with θ ≈ 7, the robustness is the strongest for the different average degrees < k >. We furthermore explore the relationship between the proportion of attacked edges f and the optimal value of θ under the random attack (RA) and the intentional attack (IA). In order to prove the advantage of the harmonic closeness, our method is compared with the definitions concerning the degree, the betweenness of nodes and edges, the PageRank and the communicability angle. Simulation results show that in comparison with other methods, our method leads to less risk of cascading failures regardless of f in artificial and real networks under RA and BA networks under IA. A key finding is that regardless of < k > , the artificial network with our method is more robust than those with other methods. In addition, the failed edge has the less impact on artificial and real networks with the harmonic closeness. These findings may be useful not only for the development of the research on cascading failures, but also for the reasonable distribution of the loads on edges in infrastructure networks.

Suggested Citation

  • Hao, Yucheng & Wang, Yanhui & Jia, Limin & He, Zhichao, 2020. "Cascading failures in networks with the harmonic closeness under edge attack strategies," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
  • Handle: RePEc:eee:chsofr:v:135:y:2020:i:c:s0960077920301740
    DOI: 10.1016/j.chaos.2020.109772
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    Citations

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    Cited by:

    1. Hao, Yucheng & Jia, Limin & Zio, Enrico & Wang, Yanhui & He, Zhichao, 2024. "A network-based approach to improving robustness of a high-speed train by structure adjustment," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    2. Hao, Yucheng & Jia, Limin & Zio, Enrico & Wang, Yanhui & He, Zhichao, 2023. "A multi-objective optimization model for identifying groups of critical elements in a high-speed train," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    3. Hao, Yucheng & Jia, Limin & Zio, Enrico & Wang, Yanhui & Small, Michael & Li, Man, 2023. "Improving resilience of high-speed train by optimizing repair strategies," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    4. Lv, Changchun & Yuan, Ziwei & Si, Shubin & Duan, Dongli & Yao, Shirui, 2022. "Cascading failure in networks with dynamical behavior against multi-node removal," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    5. He, Zhichao & Wang, Yanhui & Xia, Weifu & Shen, Yue & Hao, Yucheng & Ren, Qiuyang, 2023. "A method for reliability assessment of complex electromechanical system based on improved network connectivity entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    6. Duan, Dongli & Yan, Qi & Rong, Yisheng & Hou, Gege, 2022. "Predicting the cascading failure of dynamical networks based on a new dimension reduction method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    7. Xia, Weifu & Wang, Yanhui & Hao, Yucheng & He, Zhichao & Yan, Kai & Zhao, Fan, 2024. "Reliability analysis for complex electromechanical multi-state systems utilizing universal generating function techniques," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    8. Lv, Changchun & Yuan, Ziwei & Si, Shubin & Duan, Dongli, 2021. "Robustness of scale-free networks with dynamical behavior against multi-node perturbation," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    9. Huang, Wencheng & Li, Haoran & Yin, Yanhui & Zhang, Zhi & Xie, Anhao & Zhang, Yin & Cheng, Guo, 2024. "Node importance identification of unweighted urban rail transit network: An Adjacency Information Entropy based approach," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    10. Franken, Jonas & Reinhold, Thomas & Reichert, Lilian & Reuter, Christian, 2022. "The digital divide in state vulnerability to submarine communications cable failure," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).
    11. Li, Jie & Wang, Ying & Zhong, Jilong & Sun, Yun & Guo, Zhijun & Chen, Zhiwei & Fu, Chaoqi, 2022. "Network resilience assessment and reinforcement strategy against cascading failure," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    12. Huang, Wencheng & Zhou, Bowen & Yu, Yaocheng & Sun, Hao & Xu, Pengpeng, 2021. "Using the disaster spreading theory to analyze the cascading failure of urban rail transit network," Reliability Engineering and System Safety, Elsevier, vol. 215(C).

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