Mean Field Theory for Nonequilibrium Network Reconstruction

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Mean Field Theory for Nonequilibrium Network Reconstruction. / Roudi, Yasser; Hertz, John.

In: Physical Review Letters, Vol. 106, No. 4, 28.01.2011, p. 048701.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Roudi, Y & Hertz, J 2011, 'Mean Field Theory for Nonequilibrium Network Reconstruction', Physical Review Letters, vol. 106, no. 4, pp. 048701.

APA

Roudi, Y., & Hertz, J. (2011). Mean Field Theory for Nonequilibrium Network Reconstruction. Physical Review Letters, 106(4), 048701.

Vancouver

Roudi Y, Hertz J. Mean Field Theory for Nonequilibrium Network Reconstruction. Physical Review Letters. 2011 Jan 28;106(4):048701.

Author

Roudi, Yasser ; Hertz, John. / Mean Field Theory for Nonequilibrium Network Reconstruction. In: Physical Review Letters. 2011 ; Vol. 106, No. 4. pp. 048701.

Bibtex

@article{5f653d3d21724c589f185488cd90ae76,
title = "Mean Field Theory for Nonequilibrium Network Reconstruction",
abstract = "There has been recent progress on the problem of inferring the structure of interactions in complex networks when they are in stationary states satisfying detailed balance, but little has been done for non-equilibrium 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 SK model. We derive an exact iterative inversion algorithm and develop efficient approximations based on dynamical mean-field and TAP equations that express the interactions in terms of equal-time and one time step-delayed correlation functions. ",
author = "Yasser Roudi and John Hertz",
year = "2011",
month = jan,
day = "28",
language = "English",
volume = "106",
pages = "048701",
journal = "Physical Review Letters",
issn = "0031-9007",
publisher = "American Physical Society",
number = "4",

}

RIS

TY - JOUR

T1 - Mean Field Theory for Nonequilibrium Network Reconstruction

AU - Roudi, Yasser

AU - Hertz, John

PY - 2011/1/28

Y1 - 2011/1/28

N2 - There has been recent progress on the problem of inferring the structure of interactions in complex networks when they are in stationary states satisfying detailed balance, but little has been done for non-equilibrium 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 SK model. We derive an exact iterative inversion algorithm and develop efficient approximations based on dynamical mean-field and TAP equations that express the interactions in terms of equal-time and one time step-delayed correlation functions.

AB - There has been recent progress on the problem of inferring the structure of interactions in complex networks when they are in stationary states satisfying detailed balance, but little has been done for non-equilibrium 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 SK model. We derive an exact iterative inversion algorithm and develop efficient approximations based on dynamical mean-field and TAP equations that express the interactions in terms of equal-time and one time step-delayed correlation functions.

M3 - Journal article

VL - 106

SP - 048701

JO - Physical Review Letters

JF - Physical Review Letters

SN - 0031-9007

IS - 4

ER -

ID: 37388265