Please use this identifier to cite or link to this item: https://doi.org/10.1007/s11467-007-0056-x
DC FieldValue
dc.titleSynchronization in complex clustered networks
dc.contributor.authorHuang, L.
dc.contributor.authorLai, Y.-C.
dc.contributor.authorPark, K.
dc.contributor.authorWang, X.
dc.contributor.authorLai, C.H.
dc.contributor.authorGatenby, R.A.
dc.date.accessioned2014-11-28T01:52:48Z
dc.date.available2014-11-28T01:52:48Z
dc.date.issued2007-10
dc.identifier.citationHuang, L.,Lai, Y.-C.,Park, K.,Wang, X.,Lai, C.H.,Gatenby, R.A. (2007-10). Synchronization in complex clustered networks. Frontiers of Physics in China 2 (4) : 446-459. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/s11467-007-0056-x" target="_blank">https://doi.org/10.1007/s11467-007-0056-x</a>
dc.identifier.issn16733487
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/111488
dc.description.abstractSynchronization in complex networks has been an active area of research in recent years. While much effort has been devoted to networks with the small-world and scale-free topology, structurally they are often assumed to have a single, densely connected component. Recently it has also become apparent that many networks in social, biological, and technological systems are clustered, as characterized by a number (or a hierarchy) of sparsely linked clusters, each with dense and complex internal connections. Synchronization is fundamental to the dynamics and functions of complex clustered networks, but this problem has just begun to be addressed. This paper reviews some progress in this direction by focusing on the interplay between the clustered topology and network synchronizability. In particular, there are two parameters characterizing a clustered network: the intra-cluster and the inter-cluster link density. Our goal is to clarify the roles of these parameters in shaping network synchronizability. By using theoretical analysis and direct numerical simulations of oscillator networks, it is demonstrated that clustered networks with random inter-cluster links are more synchronizable, and synchronization can be optimized when inter-cluster and intra-cluster links match. The latter result has one counterintuitive implication: more links, if placed improperly, can actually lead to destruction of synchronization, even though such links tend to decrease the average network distance. It is hoped that this review will help attract attention to the fundamental problem of clustered structures/synchronization in network science. © 2007 Higher Education Press and Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s11467-007-0056-x
dc.sourceScopus
dc.subjectClustered networks
dc.subjectNetwork analysis
dc.subjectOscillators
dc.subjectSynchronization
dc.typeArticle
dc.contributor.departmentPHYSICS
dc.contributor.departmentTEMASEK LABORATORIES
dc.description.doi10.1007/s11467-007-0056-x
dc.description.sourcetitleFrontiers of Physics in China
dc.description.volume2
dc.description.issue4
dc.description.page446-459
dc.identifier.isiutNOT_IN_WOS
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