title: Factors that predict better synchronizability on complex networks.
abstract: While shorter characteristic path length has in general been believed to enhance synchronizability of a coupled oscillator system on a complex network, the suppressing tendency of the heterogeneity of the degree distribution, even for shorter characteristic path length, has also been reported. To see this, we investigate the effects of various factors such as the degree, characteristic path length, heterogeneity, and betweenness centrality on synchronization, and find a consistent trend between the synchronization and the betweenness centrality. The betweenness centrality is thus proposed as a good indicator for synchronizability.
authors.affiliation: School of Physics, Korea Institute for Advanced Study, Seoul 130-722, Korea.
authors.forename: H
authors.initials: H
authors.lastname: Hong
authors.forename: Beom Jun
authors.initials: BJ
authors.lastname: Kim
authors.forename: M Y
authors.initials: MY
authors.lastname: Choi
authors.forename: Hyunggyu
authors.initials: H
authors.lastname: Park
mesh_terms: D003198:Computer Simulation; D008954:Models, Biological; D015233:Models, Statistical; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D009991:Oscillometry; D011336:Probability