Clustering coefficient of random intersection graphs with infinite degree variance

Abstract

For a random intersection graph with a power law degree sequence having a finite mean and an infinite variance we show that the global clustering coefficient admits a tunable asymptotic distribution.

In this refined version of the paper a superfluous moment condition has been removed in the statement of Theorem 3