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.
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