Universality in the Synchronization of Weighted Random Networks
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 a 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 a few parameters.
- Publication:
-
Physical Review Letters
- Pub Date:
- January 2006
- DOI:
- 10.1103/PhysRevLett.96.034101
- arXiv:
- arXiv:cond-mat/0604070
- Bibcode:
- 2006PhRvL..96c4101Z
- Keywords:
-
- 05.45.Xt;
- 87.18.Sn;
- 89.75.-k;
- Synchronization;
- coupled oscillators;
- Neural networks;
- Complex systems;
- Condensed Matter - Disordered Systems and Neural Networks;
- Nonlinear Sciences - Adaptation and Self-Organizing Systems;
- Nonlinear Sciences - Chaotic Dynamics
- E-Print:
- 4 pages, 3 figures