Enhancement of Synchronizability of the Kuramoto Model with Assortative Degree-Frequency Mixing

نویسندگان

  • Jin Fan
  • David J. Hill
چکیده

Assortative mixing feature is an important topological property in complex networks. In this paper, we extend degree-degree mixing feature to non-identical nodes networks. We propose the degree-frequency correlation coefficient to measure the correlations between the degree and the natural frequency of oscillators. We find that the perfect assortative degree-frequency network is quite easy to synchronize. We also investigate the synchronization of complex networks with different degree-frequency coefficient.

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تاریخ انتشار 2009