Frustrated Synchronization of the Kuramoto Model on Complex Networks
2024

Frustrated Synchronization of the Kuramoto Model on Complex Networks

Sample size: 12000000 publication Evidence: moderate

Author Information

Author(s): Ódor Géza, Deng Shengfeng, Kelling Jeffrey, Drożdż Stanisław

Primary Institution: Institute of Technical Physics and Materials Science, HUN-REN Centre for Energy Research, Budapest, Hungary

Hypothesis

The study investigates the synchronization transition of the Kuramoto model on large graphs with varying spectral dimensions.

Conclusion

The research finds that quenched topological disorder is relevant, leading to a smeared frustrated phase transition instead of the expected mean-field behavior.

Supporting Evidence

  • The study shows strong corrections to scaling and mean-field type of criticality at d=5.
  • The ll model exhibits a non-mean-field smeared transition.
  • Network heterogeneity is relevant, causing frustrated synchronization.

Takeaway

The study looks at how groups of oscillators synchronize on big networks, finding that the way they connect can make it harder for them to sync up.

Methodology

The Kuramoto model was studied using numerical simulations on large graphs with varying spectral dimensions, analyzing synchronization transitions.

Limitations

The presence of oscillating corrections to scaling complicates the analysis of the data.

Digital Object Identifier (DOI)

10.3390/e26121074

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