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Weighted networks are more synchronizable: how and why (2005)

Abstract
Most real-world networks display not only a heterogeneous distribution of degrees, but also a heterogeneous distribution of weights in the strengths of the connections. Each of these heterogeneities alone has been shown to suppress synchronization in random networks of dynamical systems. Here we review our recent findings that complete synchronization is significantly enhanced and becomes independent of both distributions when the distribution of weights is suitably combined with the distribution of degrees. We also present new results addressing the optimality of our findings and extending our analysis to phase synchronization in networks of non-identical dynamical units.. Comment: Proceedings of the CNET 2004 (29 August - 2 September 2004)

Publication details
Download http://arxiv.org/abs/cond-mat/0506556
Repository arXiv (United States)
Keywords Condensed Matter - Disordered Systems and Neural Networks, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Nonlinear Sciences - Chaotic Dynamics
Type text