Bond percolation on a class of clustered random networks
Statistical Mechanics
2009-09-22 v2 Disordered Systems and Neural Networks
General Relativity and Quantum Cosmology
Physics and Society
Abstract
Analytical results are derived for the bond percolation threshold and the size of the giant connected component in a class of random networks with non-zero clustering. The network's degree distribution and clustering spectrum may be prescribed, and theoretical results match well to numerical simulations on both synthetic and real-world networks.
Cite
@article{arxiv.0904.4292,
title = {Bond percolation on a class of clustered random networks},
author = {James P. Gleeson},
journal= {arXiv preprint arXiv:0904.4292},
year = {2009}
}
Comments
Description of algorithm for generating clustered networks added. 5 pages, 3 figures