Local clustering in scale-free networks with hidden variables

Remco Van Der Hofstad*, A. J.E.M. Janssen, Johan S.H. Van Leeuwaarden, Clara Stegehuis

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

13 Citations (Scopus)
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Abstract

We investigate the presence of triangles in a class of correlated random graphs in which hidden variables determine the pairwise connections between vertices. The class rules out self-loops and multiple edges. We focus on the regime where the hidden variables follow a power law with exponent τ(2,3), so that the degrees have infinite variance. The natural cutoff hc characterizes the largest degrees in the hidden variable models, and a structural cutoff hs introduces negative degree correlations (disassortative mixing) due to the infinite-variance degrees. We show that local clustering decreases with the hidden variable (or degree). We also determine how the average clustering coefficient C scales with the network size N, as a function of hs and hc. For scale-free networks with exponent 2<τ<3 and the default choices hs∼N1/2 and hc∼N1/(τ-1) this gives C∼N2-τlnN for the universality class at hand. We characterize the extremely slow decay of C when τ≈2 and show that for τ=2.1, say, clustering starts to vanish only for networks as large as N=109.

Original languageEnglish
Article number022307
JournalPhysical Review E
Volume95
Issue number2
DOIs
Publication statusPublished - 14 Feb 2017
Externally publishedYes

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