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Breaking of the site-bond percolation universality in networks

Author

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  • Filippo Radicchi

    (Center for Complex Networks and Systems Research, School of Informatics and Computing, Indiana University)

  • Claudio Castellano

    (Istituto dei Sistemi Complessi (ISC-CNR)
    Sapienza Università di Roma)

Abstract

The stochastic addition of either vertices or connections in a network leads to the observation of the percolation transition, a structural change with the appearance of a connected component encompassing a finite fraction of the system. Percolation has always been regarded as a substrate-dependent but model-independent process, in the sense that the critical exponents of the transition are determined by the geometry of the system, but they are identical for the bond and site percolation models. Here, we report a violation of such assumption. We provide analytical and numerical evidence of a difference in the values of the critical exponents between the bond and site percolation models in networks with null percolation thresholds, such as scale-free graphs with diverging second moment of the degree distribution. We discuss possible implications of our results in real networks, and provide additional insights on the anomalous nature of the percolation transition with null threshold.

Suggested Citation

  • Filippo Radicchi & Claudio Castellano, 2015. "Breaking of the site-bond percolation universality in networks," Nature Communications, Nature, vol. 6(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms10196
    DOI: 10.1038/ncomms10196
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    Cited by:

    1. Shriram Ashok Kumar & Maliha Tasnim & Zohvin Singh Basnyat & Faezeh Karimi & Kaveh Khalilpour, 2022. "Resilience Analysis of Australian Electricity and Gas Transmission Networks," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    2. 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).
    3. Li, Zhaoxing & Chen, Li, 2019. "Robustness of multipartite networks in face of random node failure," Chaos, Solitons & Fractals, Elsevier, vol. 121(C), pages 149-159.
    4. Qing Cai & Mahardhika Pratama & Sameer Alam, 2019. "Interdependency and Vulnerability of Multipartite Networks under Target Node Attacks," Complexity, Hindawi, vol. 2019, pages 1-16, November.
    5. Shu, Panpan & Wang, Wei & Eugene Stanley, H. & Braunstein, Lidia A., 2018. "A general social contagion dynamic in interconnected lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 272-279.

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