English

Universality in the synchronization of weighted random networks

Disordered Systems and Neural Networks 2007-05-23 v1 Adaptation and Self-Organizing Systems Chaotic Dynamics

Abstract

Realistic networks display not only a complex topological structure, but also a heterogeneous distribution of weights in the connection strengths. Here we study synchronization in weighted complex networks and show that the synchronizability of random networks with large minimum degree is determined by two leading parameters: the mean degree and the heterogeneity of the distribution of node's intensity, where the intensity of a node, defined as the total strength of input connections, is a natural combination of topology and weights. Our results provide a possibility for the control of synchronization in complex networks by the manipulation of few parameters.

Keywords

Cite

@article{arxiv.cond-mat/0604070,
  title  = {Universality in the synchronization of weighted random networks},
  author = {Changsong Zhou and Adilson E. Motter and Jurgen Kurths},
  journal= {arXiv preprint arXiv:cond-mat/0604070},
  year   = {2007}
}

Comments

4 pages, 3 figures