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Cascading failure in interconnected weighted networks based on the state of link

Author

Listed:
  • Chao Ding

    (Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi’an 710038, China)

  • Hong Yao

    (#x2020;Science College, Air Force Engineering University, Xi’an 710051, China)

  • Jun Du

    (Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi’an 710038, China)

  • Xingzhao Peng

    (#x2021;Air Force Harbin Flight Academy, Harbin 150050, China)

  • Zhe Wang

    (Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi’an 710038, China)

  • Jingbo Zhao

    (#x2020;Science College, Air Force Engineering University, Xi’an 710051, China)

Abstract

Recently the robustness of coupled network under cascading failure has attracted a lot of attention. In this paper, we investigate the cascading failure of the interconnected weighted networks based on the state of link. The load on one link is defined by a function of the strength of the two nodes at the ends of that link, using four intentional attack strategies, we study the invulnerability of the interconnected weighted networks when cascading failure occurs. Our studies show that when the link with highest load is attacked, the damage to the network will be more serious by attacking the inner-link with highest load than that caused by attacking the coupling link with highest load, and no matter how the coupling links distribute, there are two thresholds. In addition, we find that the larger the weight increment in the model or the smaller the network’s mean clustering coefficient, the stronger the ability of the network to resist cascading failure when the inner-link with highest load is attacked, while the weaker the ability of the network to suppress the cascading failure when the inner-link with lowest load is attacked.

Suggested Citation

  • Chao Ding & Hong Yao & Jun Du & Xingzhao Peng & Zhe Wang & Jingbo Zhao, 2017. "Cascading failure in interconnected weighted networks based on the state of link," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(03), pages 1-16, March.
    • Handle: RePEc:wsi:ijmpcx:v:28:y:2017:i:03:n:s0129183117500401
    DOI: 10.1142/S0129183117500401
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