Betweenness Centrality in Large Complex Networks
Disordered Systems and Neural Networks
2009-11-10 v2 Statistical Mechanics
Abstract
We analyze the betweenness centrality (BC) of nodes in large complex networks. In general, the BC is increasing with connectivity as a power law with an exponent . We find that for trees or networks with a small loop density while a larger density of loops leads to . For scale-free networks characterized by an exponent which describes the connectivity distribution decay, the BC is also distributed according to a power law with a non universal exponent . We show that this exponent must satisfy the exact bound . If the scale free network is a tree, then we have the equality .
Keywords
Cite
@article{arxiv.cond-mat/0309436,
title = {Betweenness Centrality in Large Complex Networks},
author = {Marc Barthelemy},
journal= {arXiv preprint arXiv:cond-mat/0309436},
year = {2009}
}
Comments
6 pages, 5 figures, revised version