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Competing synchronization on random networks

Cited 1 time in Web of Science Cited 1 time in Scopus
Authors

Park, Jinha; Kahng, B.

Issue Date
2020-07
Publisher
Institute of Physics
Citation
Journal of Statistical Mechanics: Theory and Experiment, Vol.2020 No.7, p. 073407
Abstract
The synchronization pattern of a fully connected competing Kuramoto model with a uniform intrinsic frequency distributiong(omega) was recently considered. This competing Kuramoto model assigns two coupling constants with opposite signs,K-1< 0 andK(2)> 0, to the 1 -pandpfractions of nodes, respectively. This model has a rich phase diagram that includes incoherent, pi, and travelling wave (TW) phases and a hybrid phase transition with abnormal properties that occurs through an intermediate metastable pi state. Here, we consider the competing Kuramoto model on Erdos-Renyi (ER) random networks. Numerical simulations and the mean-field solution based on the annealed network approximation reveal that in this case, when the mean degree of the random networks is large, the features of the phase diagram and transition types are consistent overall with those on completely connected networks. However, when the mean degree is small, the mean-field solution is not consistent with the numerical simulation results; specifically, the TW state does not occur, and thus the phase diagram is changed, owing to the strong heterogeneity of the local environment. By contrast, for the original Kuramoto oscillators, the annealed mean-field solution is consistent with the numerical simulation result for ER networks.
ISSN
1742-5468
URI
https://hdl.handle.net/10371/195943
DOI
https://doi.org/10.1088/1742-5468/ab97b0
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