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Transition to reconstructibility in weakly coupled networks

Across scientific disciplines, thresholded pairwise measures of statistical dependence between time series are taken as proxies for the interactions between the dynamical units of a network. Yet such correlation measures often fail to reflect the underlying physical interactions accurately. Here we...

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Detalles Bibliográficos
Autores principales: Lünsmann, Benedict J., Kirst, Christoph, Timme, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5650155/
https://www.ncbi.nlm.nih.gov/pubmed/29053744
http://dx.doi.org/10.1371/journal.pone.0186624
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author Lünsmann, Benedict J.
Kirst, Christoph
Timme, Marc
author_facet Lünsmann, Benedict J.
Kirst, Christoph
Timme, Marc
author_sort Lünsmann, Benedict J.
collection PubMed
description Across scientific disciplines, thresholded pairwise measures of statistical dependence between time series are taken as proxies for the interactions between the dynamical units of a network. Yet such correlation measures often fail to reflect the underlying physical interactions accurately. Here we systematically study the problem of reconstructing direct physical interaction networks from thresholding correlations. We explicate how local common cause and relay structures, heterogeneous in-degrees and non-local structural properties of the network generally hinder reconstructibility. However, in the limit of weak coupling strengths we prove that stationary systems with dynamics close to a given operating point transition to universal reconstructiblity across all network topologies.
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spelling pubmed-56501552017-11-03 Transition to reconstructibility in weakly coupled networks Lünsmann, Benedict J. Kirst, Christoph Timme, Marc PLoS One Research Article Across scientific disciplines, thresholded pairwise measures of statistical dependence between time series are taken as proxies for the interactions between the dynamical units of a network. Yet such correlation measures often fail to reflect the underlying physical interactions accurately. Here we systematically study the problem of reconstructing direct physical interaction networks from thresholding correlations. We explicate how local common cause and relay structures, heterogeneous in-degrees and non-local structural properties of the network generally hinder reconstructibility. However, in the limit of weak coupling strengths we prove that stationary systems with dynamics close to a given operating point transition to universal reconstructiblity across all network topologies. Public Library of Science 2017-10-20 /pmc/articles/PMC5650155/ /pubmed/29053744 http://dx.doi.org/10.1371/journal.pone.0186624 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Lünsmann, Benedict J.
Kirst, Christoph
Timme, Marc
Transition to reconstructibility in weakly coupled networks
title Transition to reconstructibility in weakly coupled networks
title_full Transition to reconstructibility in weakly coupled networks
title_fullStr Transition to reconstructibility in weakly coupled networks
title_full_unstemmed Transition to reconstructibility in weakly coupled networks
title_short Transition to reconstructibility in weakly coupled networks
title_sort transition to reconstructibility in weakly coupled networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5650155/
https://www.ncbi.nlm.nih.gov/pubmed/29053744
http://dx.doi.org/10.1371/journal.pone.0186624
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