Mean-field theory for clustering coefficients in Barabasi-Albert networks
Statistical Mechanics
2016-08-31 v1 Disordered Systems and Neural Networks
Abstract
We applied a mean field approach to study clustering coefficients in Barabasi-Albert networks. We found that the local clustering in BA networks depends on the node degree. Analytic results have been compared to extensive numerical simulations finding a very good agreement for nodes with low degrees. Clustering coefficient of a whole network calculated from our approach perfectly fits numerical data.
Keywords
Cite
@article{arxiv.cond-mat/0306255,
title = {Mean-field theory for clustering coefficients in Barabasi-Albert networks},
author = {Agata Fronczak and Piotr Fronczak and Janusz A. Holyst},
journal= {arXiv preprint arXiv:cond-mat/0306255},
year = {2016}
}
Comments
8 pages, 3 figures