English

Percolation transition in correlated static model

Statistical Mechanics 2015-05-13 v1

Abstract

We introduce a correlated static model and investigate a percolation transition. The model is a modification of the static model and is characterized by assortative degree-degree correlation. As one varies the edge density, the network undergoes a percolation transition. The percolation transition is characterized by a weak singular behavior of the mean cluster size and power-law scalings of the percolation order parameter and the cluster size distribution in the entire non-percolating phase. These results suggest that the assortative degree-degree correlation generates a global structural correlation which is relevant to the percolation critical phenomena of complex networks.

Keywords

Cite

@article{arxiv.0802.2644,
  title  = {Percolation transition in correlated static model},
  author = {Sang-Woo Kim and Jae Dong Noh},
  journal= {arXiv preprint arXiv:0802.2644},
  year   = {2015}
}

Comments

5 pages, 5 figures

R2 v1 2026-06-21T10:13:48.304Z