期刊
PHYSICAL REVIEW E
卷 90, 期 4, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.90.042807
关键词
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资金
- Project LASAGNE- European Commission [318132]
- FET-Proactive project PLEXMATH - European Commission [FP7-ICT-2011-8, 317614]
- QMUL Research-IT
- EPSRC [EP/K000128/1]
- EPSRC [EP/K020633/1, EP/K000233/1, EP/K000128/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/K000128/1, EP/K020633/1, EP/K000233/1] Funding Source: researchfish
Different types of interactions coexist and coevolve to shape the structure and function of a multiplex network. We propose here a general class of growth models in which the various layers of a multiplex network coevolve through a set of nonlinear preferential attachment rules. We show, both numerically and analytically, that by tuning the level of nonlinearity these models allow us to reproduce either homogeneous or heterogeneous degree distributions, together with positive or negative degree correlations across layers. In particular, we derive the condition for the appearance of a condensed state in which one node in each layer attracts an extensive fraction of all the edges.
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