Large cliques in sparse random intersection graphs

Abstract: Given positive integers n and m, and a probability measure P on {0, 1, ..., m} the random intersection graph G(n,m,P) on vertex set V = {1,2, ..., n} and with attribute set W = {w_1, w_2, ..., w_m} is defined as follows. Let S_1, S_2, ..., S_n be independent random subsets of W such that for any v \in V and any S \subseteq W we have \pr(S_v = S) = P(|S|) / \binom (m, |S|). The edge set of G(n,m,P) consists of those pairs {u,v} V for which S_u and S_v intersect. We study the asymptotic order of the clique number \omega(G(n,m,P)) in random intersection graphs with bounded expected degrees. For instance, in the case m = \Theta(n) we show that if the vertex degree distribution is power-law with exponent \alpha \in (1;2), then the maximum clique is of a polynomial size, while if the variance of the degrees is bounded, then the maximum clique has (ln n)/(ln ln n) (1 + o_P(1)) vertices whp. In each case there is a polynomial algorithm which finds a clique of size \omega(G(n,m,P)) (1-o_P(1)).