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Cascading failures in interconnected networks with dynamical redistribution of loads

Author

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  • Zhao, Zhuang
  • Zhang, Peng
  • Yang, Hujiang

Abstract

Cascading failures of loads in isolated networks and coupled networks have been studied in the past few years. In most of the corresponding results, the topologies of the networks are destroyed. Here, we present an interconnected network model considering cascading failures based on the dynamic redistribution of flow in the networks. Compared with the results of single scale-free networks, we find that interconnected scale-free networks have higher vulnerability. Additionally, the network heterogeneity plays an important role in the robustness of interconnected networks under intentional attacks. Considering the effects of various coupling preferences, the results show that there are almost no differences. Finally, the application of our model to the Beijing interconnected traffic network, which consists of a subway network and a bus network, shows that the subway network suffers more damage under the attack. Moreover, the interconnected traffic network may be more exposed to damage after initial attacks on the bus network. These discussions are important for the design and optimization of interconnected networks.

Suggested Citation

  • Zhao, Zhuang & Zhang, Peng & Yang, Hujiang, 2015. "Cascading failures in interconnected networks with dynamical redistribution of loads," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 204-210.
  • Handle: RePEc:eee:phsmap:v:433:y:2015:i:c:p:204-210
    DOI: 10.1016/j.physa.2015.03.030
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    Citations

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    Cited by:

    1. Johnson, Caroline A. & Flage, Roger & Guikema, Seth D., 2019. "Characterising the robustness of coupled power-law networks," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    2. Yin, Yong & Sa, Jiming & Liu, Qiong & Zhang, Chaoyong & Zhou, Jian, 2019. "Robustness analysis of partially interdependent networks with different coupling preferences and multicluster functional nodes in VCMS," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 189-195.
    3. Cui, Pengshuai & Zhu, Peidong & Shao, Chengcheng & Xun, Peng, 2017. "Cascading failures in interdependent networks due to insufficient received support capability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 777-788.
    4. Zhang, Jiarui & Huang, Jian & Zhang, Zhongjie, 2023. "Analysis of the effect of node attack method on cascading failures in multi-layer directed networks," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    5. Zhu, Qian & Zhu, Zhiliang & Wang, Yifan & Yu, Hai, 2016. "Fuzzy-information-based robustness of interconnected networks against attacks and failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 194-203.
    6. Kumar, Rajesh & Kumari, Suchi & Mishra, Anubhav, 2023. "Robustness of multilayer networks: A graph energy perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    7. Wang, Yingcong & Xiao, Renbin, 2016. "An ant colony based resilience approach to cascading failures in cluster supply network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 150-166.
    8. Shen, Yi & Yang, Huang & Xie, Yuangcheng & Liu, Yang & Ren, Gang, 2023. "Adaptive robustness optimization against network cascading congestion induced by fluctuant load via a bilateral-adaptive strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    9. Xu, Degang & Xu, Xiyang & Yang, Chunhua & Gui, Weihua, 2017. "Spreading dynamics and synchronization behavior of periodic diseases on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 544-551.
    10. Cui, Pengshuai & Zhu, Peidong & Wang, Ke & Xun, Peng & Xia, Zhuoqun, 2018. "Enhancing robustness of interdependent network by adding connectivity and dependence links," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 185-197.
    11. Li, Zhenpeng & Tang, Xijin, 2019. "Robustness of complex networks to cascading failures induced by Poisson fluctuating loads," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    12. Jamar Kattel, Prakash & Aros-Vera, Felipe, 2020. "Critical infrastructure location under supporting station dependencies considerations," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    13. Kazawa, Yui & Tsugawa, Sho, 2020. "Effectiveness of link-addition strategies for improving the robustness of both multiplex and interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    14. Yang, Qihui & Scoglio, Caterina M. & Gruenbacher, Don M., 2021. "Robustness of supply chain networks against underload cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    15. Shi, Xiaoqiu & Long, Wei & Li, Yanyan & Deng, Dingshan, 2022. "Robustness of interdependent supply chain networks against both functional and structural cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).

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