Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783272654179926016 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5650155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lunsmannbenedictj transitiontoreconstructibilityinweaklycouplednetworks AT kirstchristoph transitiontoreconstructibilityinweaklycouplednetworks AT timmemarc transitiontoreconstructibilityinweaklycouplednetworks |