IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v176y2023ics0960077923010767.html
   My bibliography  Save this article

Percolation of interlayer feature-correlated multiplex networks

Author

Listed:
  • Liang, Yuan
  • Qi, Mingze
  • Huangpeng, Qizi
  • Duan, Xiaojun

Abstract

Multiplex networks formed by a set of nodes connected through different types of edges are widely used to model interactions between different systems. In many real-world scenarios, the properties of nodes in different layers are characterized by non-topological features such as age, flow, and geographical location. On this basis, the associations between different layers are caused by the coupling of features. Here, we propose a percolation framework to investigate the properties of such interlayer feature-correlated multiplex networks (FCN). Based on this framework, the robustness of the networks correlated through completely unequal discrete features, discrete features with repetition, and continuous features is analyzed. Theoretical and numerical results show that the interlayer degree–degree correlation (IDDC) of the network is controlled by both the correlation between degrees and features, and the correlation between the features of different layers. When there are repeating features, the network structure is randomized due to the decrease in the differentiation of nodes in the feature space. This randomization substantially reduces the IDDC of the network even if the above correlations are fixed. Our findings provide new insight into revealing the origins of the complexities of real-world multiplex networks.

Suggested Citation

  • Liang, Yuan & Qi, Mingze & Huangpeng, Qizi & Duan, Xiaojun, 2023. "Percolation of interlayer feature-correlated multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:chsofr:v:176:y:2023:i:c:s0960077923010767
    DOI: 10.1016/j.chaos.2023.114174
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077923010767
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2023.114174?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Min, Byungjoon & Lee, Sangchul & Lee, Kyu-Min & Goh, K.-I., 2015. "Link overlap, viability, and mutual percolation in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 72(C), pages 49-58.
    2. Dong, Gaogao & Luo, Yanting & Liu, Yangyang & Wang, Fan & Qin, Huanmei & Vilela, André L.M., 2022. "Percolation behaviors of a network of networks under intentional attack with limited information," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
    3. Baxter, G.J. & da Costa, R.A. & Dorogovtsev, S.N. & Mendes, J.F.F., 2022. "Weak percolation on multiplex networks with overlapping edges," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    4. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    5. Jiarong Xie & Fanhui Meng & Jiachen Sun & Xiao Ma & Gang Yan & Yanqing Hu, 2021. "Detecting and modelling real percolation and phase transitions of information on social media," Nature Human Behaviour, Nature, vol. 5(9), pages 1161-1168, September.
    6. Hanlin Sun & Filippo Radicchi & Jürgen Kurths & Ginestra Bianconi, 2023. "The dynamic nature of percolation on networks with triadic interactions," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    7. V. Rosato & L. Issacharoff & F. Tiriticco & S. Meloni & S. De Porcellinis & R. Setola, 2008. "Modelling interdependent infrastructures using interacting dynamical models," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 4(1/2), pages 63-79.
    8. Michael M. Danziger & Albert-László Barabási, 2022. "Recovery coupling in multilayer networks," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    9. Oriol Artime & Manlio De Domenico, 2021. "Percolation on feature-enriched interconnected systems," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    10. Ivan Kryven, 2019. "Bond percolation in coloured and multiplex networks," Nature Communications, Nature, vol. 10(1), pages 1-16, December.
    11. Saeed Osat & Ali Faqeeh & Filippo Radicchi, 2017. "Optimal percolation on multiplex networks," Nature Communications, Nature, vol. 8(1), pages 1-7, December.
    12. Rong, Qingnan & Zhang, Jun & Sun, Xiaoqian & Wandelt, Sebastian, 2022. "On the estimation of percolation thresholds for real networks," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Osat, Saeed & Radicchi, Filippo, 2018. "Observability transition in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 745-761.
    2. Hernandez-Fajardo, Isaac & Dueñas-Osorio, Leonardo, 2013. "Probabilistic study of cascading failures in complex interdependent lifeline systems," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 260-272.
    3. Shekhtman, Louis M. & Danziger, Michael M. & Havlin, Shlomo, 2016. "Recent advances on failure and recovery in networks of networks," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 28-36.
    4. Leto Peel & Tiago P. Peixoto & Manlio De Domenico, 2022. "Statistical inference links data and theory in network science," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    5. Kyu-Min Lee & Kwang-Il Goh, 2016. "Strength of weak layers in cascading failures on multiplex networks: case of the international trade network," Papers 1603.05181, arXiv.org, revised May 2016.
    6. Hao Wu & Xiangyi Meng & Michael M. Danziger & Sean P. Cornelius & Hui Tian & Albert-László Barabási, 2022. "Fragmentation of outage clusters during the recovery of power distribution grids," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    7. Wang, Jianwei & Jiang, Chen & Qian, Jianfei, 2014. "Robustness of interdependent networks with different link patterns against cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 535-541.
    8. Krishnagopal, Sanjukta & Bianconi, Ginestra, 2023. "Topology and dynamics of higher-order multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    9. Guo, Hengdao & Zheng, Ciyan & Iu, Herbert Ho-Ching & Fernando, Tyrone, 2017. "A critical review of cascading failure analysis and modeling of power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 9-22.
    10. Yi, Chengqi & Bao, Yuanyuan & Jiang, Jingchi & Xue, Yibo, 2015. "Modeling cascading failures with the crisis of trust in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 256-271.
    11. Liu, Hao & Chen, Xin & Huo, Long & Zhang, Yadong & Niu, Chunming, 2022. "Impact of inter-network assortativity on robustness against cascading failures in cyber–physical power systems," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    12. Zheng, Kexian & Liu, Ying & Gong, Jie & Wang, Wei, 2022. "Robustness of circularly interdependent networks," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    13. Kashin Sugishita & Yasuo Asakura, 2021. "Vulnerability studies in the fields of transportation and complex networks: a citation network analysis," Public Transport, Springer, vol. 13(1), pages 1-34, March.
    14. Dong, Shangjia & Wang, Haizhong & Mostafizi, Alireza & Song, Xuan, 2020. "A network-of-networks percolation analysis of cascading failures in spatially co-located road-sewer infrastructure networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    15. 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).
    16. Banerjee, Joydeep & Basu, Kaustav & Sen, Arunabha, 2018. "On hardening problems in critical infrastructure systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 23(C), pages 49-67.
    17. Pei, Jianxin & Liu, Ying & Wang, Wei & Gong, Jie, 2021. "Cascading failures in multiplex network under flow redistribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    18. Lee, Joohyun & Kwak, Jaewook & Lee, Hyang-Won & Shroff, Ness B., 2018. "Finding minimum node separators: A Markov chain Monte Carlo method," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 225-235.
    19. Ahmed Ali A. Mohamed, 2019. "On the Rising Interdependency between the Power Grid, ICT Network, and E-Mobility: Modeling and Analysis," Energies, MDPI, vol. 12(10), pages 1-17, May.
    20. Ouyang, Min, 2016. "Critical location identification and vulnerability analysis of interdependent infrastructure systems under spatially localized attacks," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 106-116.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:176:y:2023:i:c:s0960077923010767. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.