English

Escaping the avalanche collapse in self-similar multiplexes

Physics and Society 2015-02-17 v1 Disordered Systems and Neural Networks

Abstract

We deduce and discuss the implications of self-similarity for the stability in terms of robustness to failure of multiplexes, depending on interlayer degree correlations. First, we define self-similarity of multiplexes and we illustrate the concept in practice using the configuration model ensemble. Circumscribing robustness to survival of the mutually percolated state, we find a new explanation based on self-similarity both for the observed fragility of interconnected systems of networks and for their robustness to failure when interlayer degree correlations are present. Extending the self-similarity arguments, we show that interlayer degree correlations can change completely the stability properties of self-similar multiplexes, so that they can even recover a zero percolation threshold and a continuous transition in the thermodynamic limit, qualitatively exhibiting thus the ordinary stability attributes of noninteracting networks. We confirm these results with numerical simulations.

Keywords

Cite

@article{arxiv.1502.04553,
  title  = {Escaping the avalanche collapse in self-similar multiplexes},
  author = {M. Angeles Serrano and Lubos Buzna and Marian Boguna},
  journal= {arXiv preprint arXiv:1502.04553},
  year   = {2015}
}

Comments

arXiv admin note: text overlap with arXiv:1010.5793

R2 v1 2026-06-22T08:30:31.350Z