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 language | English |
|---|---|
| Article number | 058702 |
| Journal | Physical Review Letters |
| Volume | 111 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2013 Jul 31 |
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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 journal › Article
}
TY - JOUR
T1 - Coevolution and correlated multiplexity in multiplex networks
AU - Kim, Jung Yeol
AU - Goh, Kwang-Il
PY - 2013/7/31
Y1 - 2013/7/31
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84881513524&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881513524&partnerID=8YFLogxK
U2 - 10.1103/PhysRevLett.111.058702
DO - 10.1103/PhysRevLett.111.058702
M3 - Article
C2 - 23952454
AN - SCOPUS:84881513524
VL - 111
JO - Physical Review Letters
JF - Physical Review Letters
SN - 0031-9007
IS - 5
M1 - 058702
ER -