title: Synchronizing weighted complex networks.
abstract: Real networks often consist of local units, which interact with each other via asymmetric and heterogeneous connections. In this work, we explore the constructive role played by such a directed and weighted wiring for the synchronization of networks of coupled dynamical systems. The stability condition for the synchronous state is obtained from the spectrum of the respective coupling matrices. In particular, we consider a coupling scheme in which the relative importance of a link depends on the number of shortest paths through it. We illustrate our findings for networks with different topologies: scale free, small world, and random wirings.
authors.affiliation: LENA-CNRS UPR-640, Hôpital de la Salpêtrière, Paris, France and CNR-Istituto dei Sistemi Complessi, Florence, Italy. mario.chavez@chups.jussieu.fr
authors.forename: M
authors.initials: M
authors.lastname: Chavez
authors.forename: D-U
authors.initials: DU
authors.lastname: Hwang
authors.forename: A
authors.initials: A
authors.lastname: Amann
authors.forename: S
authors.initials: S
authors.lastname: Boccaletti
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D009435:Synaptic Transmission / Q000502:physiology*; D013997:Time Factors