Emergence of weight-topology correlations in complex scale-free networks
Disordered Systems and Neural Networks
2009-11-10 v3
Abstract
Different weighted scale-free networks show weights-topology correlations indicated by the non linear scaling of the node strength with node connectivity. In this paper we show that networks with and without weight-topology correlations can emerge from the same simple growth dynamics of the node connectivities and of the link weights. A weighted fitness network is introduced in which both nodes and links are assigned intrinsic fitness. This model can show a local dependence of the weight-topology correlations and can undergo a phase transition to a state in which the network is dominated by few links which acquire a finite fraction of the total weight of the network.
Keywords
Cite
@article{arxiv.cond-mat/0412399,
title = {Emergence of weight-topology correlations in complex scale-free networks},
author = {Ginestra Bianconi},
journal= {arXiv preprint arXiv:cond-mat/0412399},
year = {2009}
}
Comments
(4 pages,3 figures)