Noise bridges dynamical correlation and topology in coupled oscillator networks

Jie Ren, Wen Xu Wang, Baowen Li, Ying-Cheng Lai

Research output: Contribution to journalArticlepeer-review

160 Scopus citations


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.

Original languageEnglish (US)
Article number058701
JournalPhysical Review Letters
Issue number5
StatePublished - Feb 4 2010

ASJC Scopus subject areas

  • Physics and Astronomy(all)


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