Please use this identifier to cite or link to this item: https://doi.org/10.1063/1.2841198
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dc.titleSynchronizability of network ensembles with prescribed statistical properties
dc.contributor.authorGuan, S.
dc.contributor.authorWang, X.
dc.contributor.authorLi, K.
dc.contributor.authorWang, B.-H.
dc.contributor.authorLai, C.-H.
dc.date.accessioned2014-12-12T07:34:39Z
dc.date.available2014-12-12T07:34:39Z
dc.date.issued2008
dc.identifier.citationGuan, S., Wang, X., Li, K., Wang, B.-H., Lai, C.-H. (2008). Synchronizability of network ensembles with prescribed statistical properties. Chaos 18 (1) : -. ScholarBank@NUS Repository. https://doi.org/10.1063/1.2841198
dc.identifier.issn10541500
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/115962
dc.description.abstractIt has been shown that synchronizability of a network is determined by the local structure rather than the global properties. With the same global properties, networks may have very different synchronizability. In this paper, we numerically studied, through the spectral properties, the synchronizability of ensembles of networks with prescribed statistical properties. Given a degree sequence, it is found that the eigenvalues and eigenratios characterizing network synchronizability have well-defined distributions, and statistically, the networks with extremely poor synchronizability are rare. Moreover, we compared the synchronizability of three network ensembles that have the same nodes and average degree. Our work reveals that the synchronizability of a network can be significantly affected by the local pattern of connections, and the homogeneity of degree can greatly enhance network synchronizability for networks of a random nature. © 2008 American Institute of Physics.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1063/1.2841198
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentPHYSICS
dc.contributor.departmentTEMASEK LABORATORIES
dc.description.doi10.1063/1.2841198
dc.description.sourcetitleChaos
dc.description.volume18
dc.description.issue1
dc.description.page-
dc.identifier.isiut000254536700020
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