English

A Self-organized model for network evolution

Physics and Society 2008-08-29 v1 Disordered Systems and Neural Networks Statistical Mechanics Adaptation and Self-Organizing Systems

Abstract

Here we provide a detailed analysis, along with some extensions and additonal investigations, of a recently proposed self-organised model for the evolution of complex networks. Vertices of the network are characterised by a fitness variable evolving through an extremal dynamics process, as in the Bak-Sneppen model representing a prototype of Self-Organized Criticality. The network topology is in turn shaped by the fitness variable itself, as in the fitness network model. The system self-organizes to a nontrivial state, characterized by a power-law decay of dynamical and topological quantities above a critical threshold. The interplay between topology and dynamics in the system is the key ingredient leading to an unexpected behaviour of these quantities.

Keywords

Cite

@article{arxiv.0805.0215,
  title  = {A Self-organized model for network evolution},
  author = {Guido Caldarelli and Andrea Capocci and Diego Garlaschelli},
  journal= {arXiv preprint arXiv:0805.0215},
  year   = {2008}
}
R2 v1 2026-06-21T10:36:49.079Z