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Effectiveness of link-addition strategies for improving the robustness of both multiplex and interdependent networks

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  • Kazawa, Yui
  • Tsugawa, Sho

Abstract

Recent research trends in network science have shifted from the analysis of single-layer networks to that of multilayer networks. Two popular multilayer network models exist: interdependent networks and multiplex networks. This paper presents an extensive investigation of the effectiveness of link-addition strategies for improving the robustness of both interdependent and multiplex networks against degree-based targeted node attacks. The results demonstrate that link-addition strategies that are effective for interdependent networks are also effective for multiplex networks, suggesting that findings regarding such strategies for interdependent networks are also applicable to multiplex networks. Furthermore, the results demonstrate that the existing low-degree link-addition strategy for single-layer networks and its extensions proposed herein are relatively effective among the seven link-addition strategies investigated in this study.

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  • 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).
    • Handle: RePEc:eee:phsmap:v:545:y:2020:i:c:s037843711931996x
    DOI: 10.1016/j.physa.2019.123586
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    References listed on IDEAS

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    Cited by:

    1. Fan, Dongming & Sun, Bo & Dui, Hongyan & Zhong, Jilong & Wang, Ziyao & Ren, Yi & Wang, Zili, 2022. "A modified connectivity link addition strategy to improve the resilience of multiplex networks against attacks," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    2. He, Xiang & Yuan, Yongbo, 2022. "Revisiting driving factor influences on uncertain cascading disaster evolutions: From perspective of global sensitivity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    3. Zang, Weifei & Ji, Xinsheng & Liu, Shuxin & Wang, Gengrun, 2021. "Percolation on interdependent networks with cliques and weak interdependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    4. Ma, Shan & Shen, Binda & Ma, Junfeng & Hu, Wenfeng & Peng, Tao, 2023. "Improvement of network robustness against cascading failures based on the min–max edge-adding strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    5. Dang, Yuanchen & Yang, Lixin & He, Peiyan & Guo, Gaihui, 2023. "Effects of collapse probability on cascading failure dynamics for duplex weighted networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    6. 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).
    7. Tomassini, Marco, 2023. "Designing robust scale-free networks under targeted link attack using local information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    8. Tomassini, Marco, 2023. "Rewiring or adding links: A real-world case study of network vulnerability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).

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