Competition and multiscaling in evolving networks
Disordered Systems and Neural Networks
2007-05-23 v1 Statistical Mechanics
Abstract
The rate at which nodes in a network increase their connectivity depends on their fitness to compete for links. For example, in social networks some individuals acquire more social links than others, or on the www some webpages attract considerably more links than others. We find that this competition for links translates into multiscaling, i.e. a fitness dependent dynamic exponent, allowing fitter nodes to overcome the more connected but less fit ones. Uncovering this fitter-gets-richer phenomena can help us understand in quantitative terms the evolution of many competitive systems in nature and society.
Cite
@article{arxiv.cond-mat/0011029,
title = {Competition and multiscaling in evolving networks},
author = {G. Bianconi A. -L. Barabási},
journal= {arXiv preprint arXiv:cond-mat/0011029},
year = {2007}
}
Comments
13 pages with 2 figures