arXiv (OAI Expanded)
open access
Early warning signals for synchronization transitions from partial observations
Anticipating the onset of collective synchronization is important in many networked systems, yet observing every oscillator is often impractical. We investigate whether synchronization transitions can be detected from a small set of monitored, or sentinel, nodes. Using a stochastic Kuramoto model on
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Early warning signals for synchronization transitions from partial observations#792333
- Self-Concentration Detection Based on Doubled Amplitude/Phase Processing in Node PDE Modular Models.#1091469
- ST-HAE detects spatio-temporal anomalies in heterogeneous IoT networks under realistic class imbalance#613670
- How stimulation waveform shape affects collective oscillations in the brain networks#387027
- Deriving the Coherence Threshold _From Stochastic Boundary Dynamics to Self-Referential Interiority in a Minimal Computational Model_#722312
Record · ID 788333
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive