Literature DB >> 18764018

Enhancing synchronizability of weighted dynamical networks using betweenness centrality.

Mahdi Jalili1, Ali Ajdari Rad, Martin Hasler.   

Abstract

By considering the eigenratio of the Laplacian of the connection graph as a synchronizability measure, we propose a procedure for weighting dynamical networks to enhance their synchronizability. The method is based on node and edge betweenness centrality measures and is tested on artificially constructed scale-free, Watts-Strogatz, and random networks as well as on some real-world graphs. It is also numerically shown that the same procedure could be used to enhance the phase synchronizability of networks of nonidentical oscillators.

Year:  2008        PMID: 18764018     DOI: 10.1103/PhysRevE.78.016105

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


  4 in total

1.  Hierarchical Decomposition for Betweenness Centrality Measure of Complex Networks.

Authors:  Yong Li; Wenguo Li; Yi Tan; Fang Liu; Yijia Cao; Kwang Y Lee
Journal:  Sci Rep       Date:  2017-04-20       Impact factor: 4.379

2.  SYNCHRONIZATION OF HETEROGENEOUS OSCILLATORS UNDER NETWORK MODIFICATIONS: PERTURBATION AND OPTIMIZATION OF THE SYNCHRONY ALIGNMENT FUNCTION.

Authors:  Dane Taylor; Per Sebastian Skardal; Jie Sun
Journal:  SIAM J Appl Math       Date:  2016-10-06       Impact factor: 2.080

3.  Frequency response and gap tuning for nonlinear electrical oscillator networks.

Authors:  Harish S Bhat; Garnet J Vaz
Journal:  PLoS One       Date:  2013-11-04       Impact factor: 3.240

4.  Optimizing Dynamical Network Structure for Pinning Control.

Authors:  Yasin Orouskhani; Mahdi Jalili; Xinghuo Yu
Journal:  Sci Rep       Date:  2016-04-12       Impact factor: 4.379

  4 in total

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