Mean Field Theory for Nonequilibrium Network Reconstruction

TY - JOUR

T1 - Mean Field Theory for Nonequilibrium Network Reconstruction

AU - Roudi, Yasser

AU - Hertz, John

PY - 2011/1/27

Y1 - 2011/1/27

N2 - 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.

AB - 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.

M3 - Journal article

SN - 0031-9007

VL - 106

SP - 048701

JO - Physical Review Letters

JF - Physical Review Letters

IS - 4

ER -