The emergence of “super-groups” in dynamical networks

Guoli Yang

Chaos, Solitons & Fractals, 2016, vol. 93, issue C, 194-200

Abstract: We study a model for the generation of networks, where the number of nodes is constant and the edges are inserted into the network gradually based on non-liner preferential attachment. This model combines the ER random model with the BA scale-free networks, leading to a transition of degree distribution from homogeneity to heterogeneity. With the increase of a diversity parameter γ, the insertion of edges will give rise to some “super-groups” which are small groups of nodes with a large proportion of the edges in the network. This model has a huge application in the modelling and analyzing the emergence of “super-groups” in social, technological, and economical networks.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:93:y:2016:i:c:p:194-200

DOI: 10.1016/j.chaos.2016.10.020

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