English

Synchronization transition in Sakaguchi-Kuramoto model on complex networks with partial degree-frequency correlation

Adaptation and Self-Organizing Systems 2019-02-20 v1 Chaotic Dynamics

Abstract

We investigate transition to synchronization in Sakaguchi-Kuramoto (SK) model on complex networks analytically as well as numerically. Natural frequencies of a percentage (ff) of higher degree nodes of the network are assumed to be correlated with their degrees and that of the remaining nodes are drawn from some standard distribution namely Lorenz distribution. The effects of variation of ff and phase frustration parameter α\alpha on transition to synchronization are investigated in detail. Self-consistent equations involving critical coupling strength (λc\lambda_c) and group angular velocity (Ωc\Omega_c) at the onset of synchronization have been derived analytically in the thermodynamic limit. For the detailed investigation we considered SK model on scale-free as well as Erd\H{o}s-R\'{e}nyi (ER) networks. Interestingly explosive synchronization (ES) has been observed in both the networks for different ranges of values of α\alpha and ff. For scale-free networks, as the value of ff is set within 10%f70%10\% \leq f \leq 70\%, the range of the values of α\alpha for existence of the ES is greatly enhanced compared to the fully degree-frequency correlated case. On the other hand, for random networks, ES observed in a narrow window of α\alpha when the value of ff is taken within 30%f50%30\% \leq f \leq 50\%. In all the cases critical coupling strengths for transition to synchronization computed from the analytically derived self-consistent equations show a very good agreement with the numerical results.

Keywords

Cite

@article{arxiv.1801.06033,
  title  = {Synchronization transition in Sakaguchi-Kuramoto model on complex networks with partial degree-frequency correlation},
  author = {Prosenjit Kundu and Pinaki Pal},
  journal= {arXiv preprint arXiv:1801.06033},
  year   = {2019}
}

Comments

7 pages, 5 figures

R2 v1 2026-06-22T23:48:47.759Z