Clique percolation in random graphs

Abstract

As a generation of the classical percolation, clique percolation focuses on the connection of cliques in a graph, where the connection of two k-cliques means that they share at least l<k vertices. In this paper, we develop a theoretical approach to study clique percolation in Erdos-R\'enyi graphs, which gives not only the exact solutions of the critical point, but also the corresponding order parameter. Based on this, we prove theoretically that the fraction of cliques in the giant clique cluster always makes a continuous phase transition as the classical percolation. However, the fraction φ of vertices in the giant clique cluster for l>1 makes a step-function-like discontinuous phase transition in the thermodynamic limit and a continuous phase transition for l=1. More interesting, our analysis shows that at the critical point, the order parameter φc for l>1 is neither 0 nor 1, but a constant depending on k and l. All these theoretical findings are in agreement with the simulation results, which give theoretical support and clarification for previous simulation studies of clique percolation.

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