Reconstructing Links in Directed Networks from Noisy Dynamics
classification
🌊 nlin.AO
physics.bio-ph
keywords
linksmeasurementscovariancedirectednetworksreconstructtakenadditional
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In this Letter, we address the longstanding challenge of how to reconstruct links in directed networks from measurements, and present a general method that makes use of a noise-induced relation between network structure and both the time-lagged covariance of measurements taken at two different times and the covariance of measurements taken at the same time. For coupling functions that have additional properties, we can further reconstruct the weights of the links.
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