Literature DB >> 29448477

Stability of a giant connected component in a complex network.

Maksim Kitsak1, Alexander A Ganin2,3, Daniel A Eisenberg3,4, Pavel L Krapivsky5, Dmitri Krioukov6, David L Alderson7, Igor Linkov8.   

Abstract

We analyze the stability of the network's giant connected component under impact of adverse events, which we model through the link percolation. Specifically, we quantify the extent to which the largest connected component of a network consists of the same nodes, regardless of the specific set of deactivated links. Our results are intuitive in the case of single-layered systems: the presence of large degree nodes in a single-layered network ensures both its robustness and stability. In contrast, we find that interdependent networks that are robust to adverse events have unstable connected components. Our results bring novel insights to the design of resilient network topologies and the reinforcement of existing networked systems.

Year:  2018        PMID: 29448477     DOI: 10.1103/PhysRevE.97.012309

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  3 in total

1.  Local floods induce large-scale abrupt failures of road networks.

Authors:  Weiping Wang; Saini Yang; H Eugene Stanley; Jianxi Gao
Journal:  Nat Commun       Date:  2019-05-15       Impact factor: 14.919

2.  Assembling real networks from synthetic and unstructured subsets: the corporate reporting case.

Authors:  Eduardo Viegas; Hayato Goto; Misako Takayasu; Hideki Takayasu; Henrik Jeldtoft Jensen
Journal:  Sci Rep       Date:  2019-07-30       Impact factor: 4.379

3.  Synergistic interactions among growing stressors increase risk to an Arctic ecosystem.

Authors:  K R Arrigo; Gert L van Dijken; M A Cameron; J van der Grient; L M Wedding; L Hazen; J Leape; G Leonard; A Merkl; F Micheli; M M Mills; S Monismith; N T Ouellette; A Zivian; M Levi; R M Bailey
Journal:  Nat Commun       Date:  2020-12-07       Impact factor: 14.919

  3 in total

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