English

The Evolution of Complex Networks: A New Framework

Physics and Society 2012-03-08 v1 Statistical Mechanics Social and Information Networks Applications

Abstract

We introduce a new framework for the analysis of the dynamics of networks, based on randomly reinforced urn (RRU) processes, in which the weight of the edges is determined by a reinforcement mechanism. We rigorously explain the empirical evidence that in many real networks there is a subset of "dominant edges" that control a major share of the total weight of the network. Furthermore, we introduce a new statistical procedure to study the evolution of networks over time, assessing if a given instance of the nework is taken at its steady state or not. Our results are quite general, since they are not based on a particular probability distribution or functional form of the weights. We test our model in the context of the International Trade Network, showing the existence of a core of dominant links and determining its size.

Keywords

Cite

@article{arxiv.1203.1349,
  title  = {The Evolution of Complex Networks: A New Framework},
  author = {Guido Caldarelli and Alessandro Chessa and Irene Crimaldi and Fabio Pammolli},
  journal= {arXiv preprint arXiv:1203.1349},
  year   = {2012}
}

Comments

4 pages and 2 figures

R2 v1 2026-06-21T20:30:02.869Z