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Title: Noise bridges dynamical correlation and topology in coupled oscillator networks
Authors: Ren, J.
Wang, W.-X.
Li, B. 
Lai, Y.-C.
Issue Date: 4-Feb-2010
Citation: Ren, J., Wang, W.-X., Li, B., Lai, Y.-C. (2010-02-04). Noise bridges dynamical correlation and topology in coupled oscillator networks. Physical Review Letters 104 (5) : -. ScholarBank@NUS Repository.
Abstract: 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. © 2010 The American Physical Society.
Source Title: Physical Review Letters
ISSN: 00319007
DOI: 10.1103/PhysRevLett.104.058701
Appears in Collections:Staff Publications

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