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Percolation on feature-enriched interconnected systems

Author

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  • Oriol Artime

    (Center for Information and Communication Technology, Fondazione Bruno Kessler)

  • Manlio De Domenico

    (Center for Information and Communication Technology, Fondazione Bruno Kessler)

Abstract

Percolation is an emblematic model to assess the robustness of interconnected systems when some of their components are corrupted. It is usually investigated in simple scenarios, such as the removal of the system’s units in random order, or sequentially ordered by specific topological descriptors. However, in the vast majority of empirical applications, it is required to dismantle the network following more sophisticated protocols, for instance, by combining topological properties and non-topological node metadata. We propose a novel mathematical framework to fill this gap: networks are enriched with features and their nodes are removed according to the importance in the feature space. We consider features of different nature, from ones related to the network construction to ones related to dynamical processes such as epidemic spreading. Our framework not only provides a natural generalization of percolation but, more importantly, offers an accurate way to test the robustness of networks in realistic scenarios.

Suggested Citation

  • Oriol Artime & Manlio De Domenico, 2021. "Percolation on feature-enriched interconnected systems," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22721-z
    DOI: 10.1038/s41467-021-22721-z
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    Cited by:

    1. Liang, Yuan & Qi, Mingze & Huangpeng, Qizi & Duan, Xiaojun, 2023. "Percolation of interlayer feature-correlated multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    2. Zizhen Xu & Shauhrat S. Chopra, 2023. "Interconnectedness enhances network resilience of multimodal public transportation systems for Safe-to-Fail urban mobility," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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