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.
%0 Journal Article
%1 ZHO06e
%A Zhou, C.
%A Motter, Adilson E.
%A Kurths, J.
%D 2006
%J Phys.~Rev.~Lett.
%K dynamical nonlinear processes; random synchronisation; systems
%N 3
%P 034101
%R 10.1103/physrevlett.96.034101
%T Universality in the Synchronization of Weighted Random Networks
%V 96
%X 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.
@article{ZHO06e,
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.},
added-at = {2009-03-03T17:19:04.000+0100},
author = {Zhou, C. and Motter, Adilson E. and Kurths, J.},
biburl = {https://www.bibsonomy.org/bibtex/2f08e7ccb264c09161fe8298d912758c5/bronckobuster},
doi = {10.1103/physrevlett.96.034101},
eid = {034101},
interhash = {4f7397a8b970c195fbd980ecb9f24b86},
intrahash = {f08e7ccb264c09161fe8298d912758c5},
journal = {Phys.~Rev.~Lett.},
keywords = {dynamical nonlinear processes; random synchronisation; systems},
number = 3,
numpages = {4},
pages = 034101,
timestamp = {2009-03-03T17:20:05.000+0100},
title = {Universality in the Synchronization of Weighted Random Networks},
volume = 96,
year = 2006
}