Coevolution and correlated multiplexity in multiplex networks

Jung Yeol Kim, Kwang-Il Goh

Research output: Contribution to journalArticle

87 Citations (Scopus)

Abstract

Distinct channels of interaction in a complex networked system define network layers, which coexist and cooperate for the system's function. Towards understanding such multiplex systems, we propose a modeling framework based on coevolution of network layers, with a class of minimalistic growing network models as working examples. We examine how the entangled growth of coevolving layers can shape the network structure and show analytically and numerically that the coevolution can induce strong degree correlations across layers, as well as modulate degree distributions. We further show that such a coevolution-induced correlated multiplexity can alter the system's response to the dynamical process, exemplified by the suppressed susceptibility to a social cascade process.

Original languageEnglish
Article number058702
JournalPhysical Review Letters
Volume111
Issue number5
DOIs
Publication statusPublished - 2013 Jul 31

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complex systems
cascades
magnetic permeability
interactions

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Coevolution and correlated multiplexity in multiplex networks. / Kim, Jung Yeol; Goh, Kwang-Il.

In: Physical Review Letters, Vol. 111, No. 5, 058702, 31.07.2013.

Research output: Contribution to journalArticle

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