Reconstructing links in directed networks from noisy dynamics
1Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong.
Abstract:
We address the long-standing 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. When the coupling functions have certain additional properties, we can further reconstruct the weights of the links.
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