English

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 η\eta. We find that for trees or networks with a small loop density η=2\eta=2 while a larger density of loops leads to η<2\eta<2. For scale-free networks characterized by an exponent γ\gamma which describes the connectivity distribution decay, the BC is also distributed according to a power law with a non universal exponent δ\delta. We show that this exponent δ\delta must satisfy the exact bound δ(γ+1)/2\delta\geq (\gamma+1)/2. If the scale free network is a tree, then we have the equality δ=(γ+1)/2\delta=(\gamma+1)/2.

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