The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Noise Bridges Dynamical Correlation and Topology in Coupled Oscillator Networks
Open accessAbstract
We study the relationship between dynamical properties and interaction patterns in complex oscillator networks in the presence of noise. A striking finding is that noise leads to a general, one-to-one correspondence between the dynamical correlation and the connections among oscillators for a variety of node dynamics and network structures. The universal finding enables an accurate prediction of the full network topology based solely on measuring the dynamical correlation. The power of the method for network inference is demonstrated by the high success rate in identifying links for distinct dynamics on both model and real-life networks. The method can have potential applications in various fields due to its generality, high accuracy, and efficiency.
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Consensus and Cooperation in Networked Multi-Agent Systems
Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522
Cited by
Data based identification and prediction of nonlinear and complex dynamical systems
Wang, W.-X., Lai, Y.-C., & Grebogi, C. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.06.004 · Cited by 299
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Metadata
- Authors
- Ren, J., Wang, W.-X., Li, B., & Lai, Y.-C.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2010-02-04
- Volume
- 104
- Issue
- 5
- Pages
- 058701-058701
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2118527621
- Cited by
- 191
- References
- 1
- FWCI
- 21.35
- Type
- journal article
- Language
- en
- Open access
- green
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- Ren, J., Wang, W.-X., Li, B., & Lai, Y.-C. (2010). Noise Bridges Dynamical Correlation and Topology in Coupled Oscillator Networks. Physical Review Letters. https://doi.org/10.1103/physrevlett.104.058701
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