Literature DB >> 30679430

Bond percolation in coloured and multiplex networks.

Ivan Kryven1.   

Abstract

Percolation in complex networks is a process that mimics network degradation and a tool that reveals peculiarities of the network structure. During the course of percolation, the emergent properties of networks undergo non-trivial transformations, which include a phase transition in the connectivity, and in some special cases, multiple phase transitions. Such global transformations are caused by only subtle changes in the degree distribution, which locally describe the network. Here we establish a generic analytic theory that describes how structure and sizes of all connected components in the network are affected by simple and colour-dependent bond percolations. This theory predicts locations of the phase transitions, existence of wide critical regimes that do not vanish in the thermodynamic limit, and a phenomenon of colour switching in small components. These results may be used to design percolation-like processes, optimise network response to percolation, and detect subtle signals preceding network collapse.

Entities:  

Year:  2019        PMID: 30679430      PMCID: PMC6345799          DOI: 10.1038/s41467-018-08009-9

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  32 in total

1.  Assortative mixing in networks.

Authors:  M E J Newman
Journal:  Phys Rev Lett       Date:  2002-10-28       Impact factor: 9.161

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Journal:  Phys Rev Lett       Date:  2011-11-04       Impact factor: 9.161

3.  Catastrophic cascade of failures in interdependent networks.

Authors:  Sergey V Buldyrev; Roni Parshani; Gerald Paul; H Eugene Stanley; Shlomo Havlin
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4.  Cascades on correlated and modular random networks.

Authors:  James P Gleeson
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-04-28

5.  Random graphs with clustering.

Authors:  M E J Newman
Journal:  Phys Rev Lett       Date:  2009-07-27       Impact factor: 9.161

6.  Explosive percolation in scale-free networks.

Authors:  Filippo Radicchi; Santo Fortunato
Journal:  Phys Rev Lett       Date:  2009-10-13       Impact factor: 9.161

7.  Multiple percolation transitions in a configuration model of a network of networks.

Authors:  Ginestra Bianconi; Sergey N Dorogovtsev
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-06-26

8.  Epidemic Model with Isolation in Multilayer Networks.

Authors:  L G Alvarez Zuzek; H E Stanley; L A Braunstein
Journal:  Sci Rep       Date:  2015-07-15       Impact factor: 4.379

9.  Early-warning signals of topological collapse in interbank networks.

Authors:  Tiziano Squartini; Iman van Lelyveld; Diego Garlaschelli
Journal:  Sci Rep       Date:  2013-11-28       Impact factor: 4.379

10.  The interdependent network of gene regulation and metabolism is robust where it needs to be.

Authors:  David F Klosik; Anne Grimbs; Stefan Bornholdt; Marc-Thorsten Hütt
Journal:  Nat Commun       Date:  2017-09-14       Impact factor: 14.919

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  2 in total

1.  Generative Algorithm for Molecular Graphs Uncovers Products of Oil Oxidation.

Authors:  Yuliia Orlova; Alessa A Gambardella; Ivan Kryven; Katrien Keune; Piet D Iedema
Journal:  J Chem Inf Model       Date:  2021-02-22       Impact factor: 4.956

2.  Robustness and lethality in multilayer biological molecular networks.

Authors:  Xueming Liu; Enrico Maiorino; Arda Halu; Kimberly Glass; Rashmi B Prasad; Joseph Loscalzo; Jianxi Gao; Amitabh Sharma
Journal:  Nat Commun       Date:  2020-11-27       Impact factor: 14.919

  2 in total

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