4.3 Article

The clustering coefficient of a scale-free random graph

Journal

DISCRETE APPLIED MATHEMATICS
Volume 159, Issue 10, Pages 953-965

Publisher

ELSEVIER
DOI: 10.1016/j.dam.2011.02.003

Keywords

Clustering coefficient; Scale-free graph; Barabasi-Albert graph

Funding

  1. EC [MEST-CT-2004-6724]
  2. Heilbronn Institute for Mathematical Research, Bristol

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We consider a random graph process in which, at each time step, a new vertex is added with m out-neighbours, chosen with probabilities proportional to their degree plus a strictly positive constant. We show that the expectation of the clustering coefficient of the graph process is asymptotically proportional to log n/n. Bollobas and Riordan have previously shown that when the constant is zero, the same expectation is asymptotically proportional to (log n)(2)/n. (C) 2011 Elsevier B.V. All rights reserved.

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