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arxiv: 0804.3032 · v1 · submitted 2008-04-18 · 🧮 math.CO

The Clustering Coefficient of a Scale-Free Random Graph

classification 🧮 math.CO
keywords graphproportionalasymptoticallyclusteringcoefficientconstantexpectationprocess
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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. Bollob\'as and Riordan have previously shown that when the constant is zero, the same expectation is asymptotically proportional to ((log n)^2)/n.

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