Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-02-12
Phys. Rev. E 71, 016116 (2005)
Physics
Condensed Matter
Disordered Systems and Neural Networks
Synchronization in Weighted Networks
Scientific paper
10.1103/PhysRevE.71.016116
Many complex networks display strong heterogeneity in the degree (connectivity) distribution. Heterogeneity in the degree distribution often reduces the average distance between nodes but, paradoxically, may suppress synchronization in networks of oscillators coupled symmetrically with uniform coupling strength. Here we offer a solution to this apparent paradox. Our analysis is partially based on the identification of a diffusive process underlying the communication between oscillators and reveals a striking relation between this process and the condition for the linear stability of the synchronized states. We show that, for a given degree distribution, the maximum synchronizability is achieved when the network of couplings is weighted and directed, and the overall cost involved in the couplings is minimum. This enhanced synchronizability is solely determined by the mean degree and does not depend on the degree distribution and system size. Numerical verification of the main results is provided for representative classes of small-world and scale-free networks.
Kurths Juergen
Motter Adilson E.
Zhou Changsong
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