English

Clique percolation in random graphs

Statistical Mechanics 2015-10-09 v2 Social and Information Networks Physics and Society

Abstract

As a generation of the classical percolation, clique percolation focuses on the connection of cliques in a graph, where the connection of two kk-cliques means that they share at least l<kl<k vertices. In this paper, we develop a theoretical approach to study clique percolation in Erd\H{o}s-R\'{e}nyi 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 ψ\psi of cliques in the giant clique cluster always makes a continuous phase transition as the classical percolation. However, the fraction ϕ\phi of vertices in the giant clique cluster for l>1l>1 makes a step-function-like discontinuous phase transition in the thermodynamic limit and a continuous phase transition for l=1l=1. More interesting, our analysis shows that at the critical point, the order parameter ϕc\phi_c for l>1l>1 is neither 00 nor 11, but a constant depending on kk and ll. All these theoretical findings are in agreement with the simulation results, which give theoretical support and clarification for previous simulation studies of clique percolation.

Keywords

Cite

@article{arxiv.1508.01878,
  title  = {Clique percolation in random graphs},
  author = {Ming Li and Youjin Deng and Bing-Hong Wang},
  journal= {arXiv preprint arXiv:1508.01878},
  year   = {2015}
}

Comments

6 pages, 5 figures

R2 v1 2026-06-22T10:29:03.317Z