Mean field theory for nonequilibrium network reconstruction

There has been recent progress on inferring the structure of interactions in complex networks when they are in stationary states satisfying detailed balance, but little has been done for nonequilibrium systems. Here we introduce an approach to this problem, considering, as an example, the question o...

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Bibliographic Details
Published in:Physical review letters 2011-01, Vol.106 (4), p.048702-048702, Article 048702
Main Authors: Roudi, Yasser, Hertz, John
Format: Article
Language:English
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Summary:There has been recent progress on inferring the structure of interactions in complex networks when they are in stationary states satisfying detailed balance, but little has been done for nonequilibrium systems. Here we introduce an approach to this problem, considering, as an example, the question of recovering the interactions in an asymmetrically coupled, synchronously updated Sherrington-Kirkpatrick model. We derive an exact iterative inversion algorithm and develop efficient approximations based on dynamical mean-field and Thouless-Anderson-Palmer equations that express the interactions in terms of equal-time and one-time-step-delayed correlation functions.
ISSN:0031-9007
1079-7114
DOI:10.1103/physrevlett.106.048702