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Structural and functional robustness of networked critical infrastructure systems under different failure scenarios

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  • Wang, Shuliang
  • Lv, Wenzhuo
  • Zhao, Longfeng
  • Nie, Sen
  • Stanley, H. Eugene

Abstract

We analyze the structural and functional robustness of networked critical infrastructure systems (CISs). We propose a structural and functional robustness model of a typical complex network and take into account the corresponding measuring metrics and cascading processes to assess the impact of different hazard modes on robustness. We analyze the robustness of the shanghai subway network and the central China power grid to demonstrate an application of the model. We find that both are strongly robust to random failure but extremely vulnerable to targeted attack. We identify the critical areas most likely to be attack targets and use a functional perspective to identify vulnerabilities. Our proposed method can be applied to other CISs and aid in understanding the mechanisms of network robustness.

Suggested Citation

  • Wang, Shuliang & Lv, Wenzhuo & Zhao, Longfeng & Nie, Sen & Stanley, H. Eugene, 2019. "Structural and functional robustness of networked critical infrastructure systems under different failure scenarios," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 476-487.
    • Handle: RePEc:eee:phsmap:v:523:y:2019:i:c:p:476-487
    DOI: 10.1016/j.physa.2019.01.134
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    Cited by:

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    2. Xue Guo & Hu Zhang & Tianhai Tian, 2019. "Multi-Likelihood Methods for Developing Stock Relationship Networks Using Financial Big Data," Papers 1906.08088, arXiv.org.
    3. Gao, Xin & Ye, Yunxia & Su, Wenxin & Chen, Linyan, 2023. "Assessing the comprehensive importance of power grid nodes based on DEA," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
    4. Navid Moghadam, Nastaran & Nazarimehr, Fahimeh & Jafari, Sajad & Sprott, Julien C., 2020. "Studying the performance of critical slowing down indicators in a biological system with a period-doubling route to chaos," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
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    6. Guo, Xue & Li, Weibo & Zhang, Hu & Tian, Tianhai, 2022. "Multi-likelihood methods for developing relationship networks using stock market data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).

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