Transition to synchrony in degree-frequency correlated Sakaguchi-Kuramoto model
arXiv:1707.06127 · doi:10.1103/PhysRevE.96.052216
Abstract
We investigate transition to synchrony in degree-frequency correlated Sakaguchi-Kuramoto (SK) model on complex networks both analytically and numerically. We analytically derive self-consistent equations for group angular velocity and order parameter for the model in the thermodynamic limit. Using the self-consistent equations we investigate transition to synchronization in SK model on uncorrelated scale-free (SF) and Erdős-Rényi (ER) networks in detail. Depending on the degree distribution exponent () of SF networks and phase-frustration parameter, the population undergoes from first order transition (explosive synchronization (ES)) to second order transition and vice versa. In ER networks transition is always second order irrespective of the phase-lag parameter. We observe that the critical coupling strength for the onset of synchronization is decreased by phase-frustration parameter in case of SF network where as in ER network, the phase-frustration delays the onset of synchronization. Extensive numerical simulations using SF and ER networks are performed to validate the analytical results. An analytical expression of critical coupling strength for the onset of synchronization is also derived from the self consistent equations considering the vanishing order parameter limit.
8 pages, 6 figures
References in corpus (9)
- Synchronization in complex networks
- Critical phenomena in complex networks
- Explosive Synchronization Transitions in Scale-free Networks
- Explosive synchronization in adaptive and multilayer networks
- Explosive transitions in complex networks' structure and dynamics: percolation and synchronization
- Kuramoto model with frequency-degree correlations on complex networks
- Disorder induces explosive synchronization
- Effects of degree-frequency correlations on network synchronization: universality and full phase-locking
- Explosive synchronization with partial degree-frequency correlation