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Robustness of interdependent scale-free networks based on link addition strategies

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  • Chen, Chao-Yang
  • Zhao, Yang
  • Qin, Huanmei
  • Meng, Xiangyi
  • Gao, Jianxi

Abstract

It is well known that interdependent networks are more vulnerable to cascading failure than single and isolated networks. In this report, we propose a new scheme to improve the robustness of interdependent scale-free network under degree-based deliberate attacks by adding links to enhance the connectivity of the interdependent network. Our proposal details 14 link addition strategies using two link importance functions. To verify the feasibility of the proposed strategies, we synthesize three different types of two-layer interdependent Barabási–Albert networks where nodes from each layer are, after ranked by their degrees, bijectively inter-coupled by assortative coupling (AC), disassortative coupling (DC), or random coupling (RC). We find that when the number of attacked nodes in the system is small, the harmonic closeness (HS-IDD) link addition strategy has the highest efficiency. Among them, S indicates that the information fusion method of each layer of the network is addition, IDD refers to the degree difference of network. With the increase of the attack proportion, the degree (DS-IDD) link addition efficiency gradually increases, and the effect is more obvious in DC and RC. Besides, through comparing different strategies, under DC and RC, the link addition strategy for the product is more effective than the sum-based strategy. However, under AC, this phenomenon is not obvious. The results show that our proposed approach can enhance the robustness of interdependent networks, and that our method provides a valuable reference for the control and prevention of cascading failures in existing interdependent networks.

Suggested Citation

  • Chen, Chao-Yang & Zhao, Yang & Qin, Huanmei & Meng, Xiangyi & Gao, Jianxi, 2022. "Robustness of interdependent scale-free networks based on link addition strategies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    • Handle: RePEc:eee:phsmap:v:604:y:2022:i:c:s0378437122005520
    DOI: 10.1016/j.physa.2022.127851
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    Citations

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    Cited by:

    1. Zhou, Lili & Yin, Jun & Tan, Fei & Liao, Haibin, 2023. "Robustness analysis of edge-coupled interdependent networks under different attack strategies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    2. Xu, Chen & Xu, Xueguo, 2024. "A two-stage resilience promotion approach for urban rail transit networks based on topology enhancement and recovery optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).

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