Literature DB >> 15244784

Factors that predict better synchronizability on complex networks.

H Hong1, Beom Jun Kim, M Y Choi, Hyunggyu Park.   

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.

Mesh:

Year:  2004        PMID: 15244784     DOI: 10.1103/PhysRevE.69.067105

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Concurrent enhancement of percolation and synchronization in adaptive networks.

Authors:  Young-Ho Eom; Stefano Boccaletti; Guido Caldarelli
Journal:  Sci Rep       Date:  2016-06-02       Impact factor: 4.379

2.  All-sense-all networks are suboptimal for sensorimotor synchronization.

Authors:  Arnout van de Rijt
Journal:  PLoS One       Date:  2018-08-29       Impact factor: 3.240

  2 in total

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