Literature DB >> 22181628

Percolation transitions are not always sharpened by making networks interdependent.

Seung-Woo Son1, Peter Grassberger, Maya Paczuski.   

Abstract

We study a model for coupled networks introduced recently by Buldyrev et al., [Nature (London) 464, 1025 (2010)], where each node has to be connected to others via two types of links to be viable. Removing a critical fraction of nodes leads to a percolation transition that has been claimed to be more abrupt than that for uncoupled networks. Indeed, it was found to be discontinuous in all cases studied. Using an efficient new algorithm we verify that the transition is discontinuous for coupled Erdös-Rényi networks, but find it to be continuous for fully interdependent diluted lattices. In 2 and 3 dimensions, the order parameter exponent β is larger than in ordinary percolation, showing that the transition is less sharp, i.e., further from discontinuity, than for isolated networks. Possible consequences for spatially embedded networks are discussed.

Year:  2011        PMID: 22181628     DOI: 10.1103/PhysRevLett.107.195702

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  15 in total

1.  Bond percolation in coloured and multiplex networks.

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2.  Robust component: a robustness measure that incorporates access to critical facilities under disruptions.

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Journal:  J R Soc Interface       Date:  2019-08-07       Impact factor: 4.118

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Journal:  Phys Rep       Date:  2014-07-10       Impact factor: 25.600

4.  Percolation on networks with conditional dependence group.

Authors:  Hui Wang; Ming Li; Lin Deng; Bing-Hong Wang
Journal:  PLoS One       Date:  2015-05-15       Impact factor: 3.240

5.  Cascading failures in coupled networks with both inner-dependency and inter-dependency links.

Authors:  Run-Ran Liu; Ming Li; Chun-Xiao Jia; Bing-Hong Wang
Journal:  Sci Rep       Date:  2016-05-04       Impact factor: 4.379

6.  Cascading failures in coupled networks: The critical role of node-coupling strength across networks.

Authors:  Run-Ran Liu; Ming Li; Chun-Xiao Jia
Journal:  Sci Rep       Date:  2016-10-17       Impact factor: 4.379

7.  Robustness and Vulnerability of Networks with Dynamical Dependency Groups.

Authors:  Ya-Nan Bai; Ning Huang; Lei Wang; Zhi-Xi Wu
Journal:  Sci Rep       Date:  2016-11-28       Impact factor: 4.379

8.  Social contagions on interdependent lattice networks.

Authors:  Panpan Shu; Lei Gao; Pengcheng Zhao; Wei Wang; H Eugene Stanley
Journal:  Sci Rep       Date:  2017-03-16       Impact factor: 4.379

9.  Universal mechanism for hybrid percolation transitions.

Authors:  Deokjae Lee; Wonjun Choi; J Kertész; B Kahng
Journal:  Sci Rep       Date:  2017-07-18       Impact factor: 4.379

10.  The "weak" interdependence of infrastructure systems produces mixed percolation transitions in multilayer networks.

Authors:  Run-Ran Liu; Daniel A Eisenberg; Thomas P Seager; Ying-Cheng Lai
Journal:  Sci Rep       Date:  2018-02-01       Impact factor: 4.379

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