English

Explosive percolation: a numerical analysis

Physics and Society 2010-03-24 v2 Disordered Systems and Neural Networks Statistical Mechanics

Abstract

Percolation is one of the most studied processes in statistical physics. A recent paper by Achlioptas et al. [Science 323, 1453 (2009)] has shown that the percolation transition, which is usually continuous, becomes discontinuous ("explosive") if links are added to the system according to special cooperative rules (Achlioptas processes). In this paper we present a detailed numerical analysis of Achlioptas processes with product rule on various systems, including lattices, random networks a' la Erdoes-Renyi and scale-free networks. In all cases we recover the explosive transition by Achlioptas et al.. However, the explosive percolation transition is kind of hybrid as, despite the discontinuity of the order parameter at the threshold, one observes traces of analytical behavior, like power law distributions of cluster sizes. In particular, for scale-free networks with degree exponent lambda<3, all relevant percolation variables display power law scaling, just as in continuous second-order phase transitions.

Keywords

Cite

@article{arxiv.0911.3549,
  title  = {Explosive percolation: a numerical analysis},
  author = {Filippo Radicchi and Santo Fortunato},
  journal= {arXiv preprint arXiv:0911.3549},
  year   = {2010}
}

Comments

11 pages, 13 figures, 1 table

R2 v1 2026-06-21T14:13:13.536Z