Literature DB >> 25768563

Explosive synchronization with partial degree-frequency correlation.

Rafael S Pinto1, Alberto Saa2.   

Abstract

Networks of Kuramoto oscillators with a positive correlation between the oscillators frequencies and the degree of their corresponding vertices exhibit so-called explosive synchronization behavior, which is now under intensive investigation. Here we study and discuss explosive synchronization in a situation that has not yet been considered, namely when only a part, typically a small part, of the vertices is subjected to a degree-frequency correlation. Our results show that in order to have explosive synchronization, it suffices to have degree-frequency correlations only for the hubs, the vertices with the highest degrees. Moreover, we show that a partial degree-frequency correlation does not only promotes but also allows explosive synchronization to happen in networks for which a full degree-frequency correlation would not allow it. We perform a mean-field analysis and our conclusions were corroborated by exhaustive numerical experiments for synthetic networks and also for the undirected and unweighed version of a typical benchmark biological network, namely the neural network of the worm Caenorhabditis elegans. The latter is an explicit example where partial degree-frequency correlation leads to explosive synchronization with hysteresis, in contrast with the fully correlated case, for which no explosive synchronization is observed.

Entities:  

Year:  2015        PMID: 25768563     DOI: 10.1103/PhysRevE.91.022818

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


  2 in total

1.  Synchronization of phase oscillators with frequency-weighted coupling.

Authors:  Can Xu; Yuting Sun; Jian Gao; Tian Qiu; Zhigang Zheng; Shuguang Guan
Journal:  Sci Rep       Date:  2016-02-23       Impact factor: 4.379

2.  A Mathematical Model for Storage and Recall of Images using Targeted Synchronization of Coupled Maps.

Authors:  P Palaniyandi; Govindan Rangarajan
Journal:  Sci Rep       Date:  2017-08-21       Impact factor: 4.379

  2 in total

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