English

Dynamics of condensation in growing complex networks

Statistical Mechanics 2009-11-13 v2 Disordered Systems and Neural Networks Physics and Society

Abstract

A condensation transition was predicted for growing technological networks evolving by preferential attachment and competing quality of their nodes, as described by the fitness model. When this condensation occurs a node acquires a finite fraction of all the links of the network. Earlier studies based on steady state degree distribution and on the mapping to Bose-Einstein condensation, were able to identify the critical point. Here we characterize the dynamics of condensation and we present evidence that below the condensation temperature there is a slow down of the dynamics and that a single node (not necessarily the best node in the network) emerges as the winner for very long times. The characteristic time t* at which this phenomenon occurs diverges both at the critical point and at T>0T -> 0 when new links are attached deterministically to the highest quality node of the network.

Keywords

Cite

@article{arxiv.0804.1768,
  title  = {Dynamics of condensation in growing complex networks},
  author = {Luca Ferretti and Ginestra Bianconi},
  journal= {arXiv preprint arXiv:0804.1768},
  year   = {2009}
}

Comments

(4 pages,3 figures)

R2 v1 2026-06-21T10:29:44.755Z