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Synchronizability determined by coupling strengths and topology on complex networks

Jesús Gómez-Gardeñes1, Yamir Moreno, Alex Arenas

  • 1Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, Zaragoza 50009, Spain.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 7, 2007
PubMed
Summary

This study explores synchronization in complex networks using the Kuramoto model. It reveals how network heterogeneity and modularity influence synchronization patterns and introduces new parameters for analysis.

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