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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Enhancing synchronizability of weighted dynamical networks using betweenness centrality.

Mahdi Jalili1, Ali Ajdari Rad, Martin Hasler

  • 1Laboratory of Nonlinear Systems, School of Computer and Communication Sciences, Ecole Polytechnique Fédérale de Lausanne, CH 1015, Lausanne, Switzerland. Mahdi.Jalili@epfl.ch

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Summary

This study introduces a novel network weighting method to improve synchronizability, a key property for dynamic systems. The technique enhances both general and phase synchronizability in various network types.

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Area of Science:

  • Complex Networks
  • Network Science
  • Dynamical Systems

Background:

  • Network synchronizability is crucial for the functioning of many complex systems.
  • Existing methods for enhancing synchronizability are limited.
  • The eigenratio of the graph Laplacian is a relevant measure for network synchronizability.

Purpose of the Study:

  • To propose and validate a novel network weighting procedure to enhance network synchronizability.
  • To investigate the effectiveness of the proposed method on different network topologies.
  • To explore the applicability of the method for enhancing phase synchronizability in networks of non-identical oscillators.

Main Methods:

  • Utilizing the eigenratio of the Laplacian as a synchronizability measure.
  • Employing node and edge betweenness centrality for network weighting.
  • Testing the method on scale-free, Watts-Strogatz, and random networks, as well as real-world graphs.

Main Results:

  • The proposed weighting procedure effectively enhances the synchronizability of various network types.
  • The method demonstrates robustness across different artificial and real-world network structures.
  • Numerical simulations confirm the enhancement of phase synchronizability for non-identical oscillators.

Conclusions:

  • The developed network weighting strategy is a powerful tool for improving the synchronizability of dynamical networks.
  • The method offers a practical approach for optimizing network performance in diverse applications.
  • The findings extend to improving the synchronization of coupled non-identical oscillators.