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Hidden early-warning signals in scale-free networks
Critical transitions of complex systems can often be predicted by so-called early-warning signals (EWS). In some cases, however, such signals cannot be detected although a critical transition is imminent. Observing a relation of EWS-detectability and the network topology in which the system is imple...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734744/ https://www.ncbi.nlm.nih.gov/pubmed/29253905 http://dx.doi.org/10.1371/journal.pone.0189853 |
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author | Jäger, Georg Hofer, Christian Kapeller, Marie Füllsack, Manfred |
author_facet | Jäger, Georg Hofer, Christian Kapeller, Marie Füllsack, Manfred |
author_sort | Jäger, Georg |
collection | PubMed |
description | Critical transitions of complex systems can often be predicted by so-called early-warning signals (EWS). In some cases, however, such signals cannot be detected although a critical transition is imminent. Observing a relation of EWS-detectability and the network topology in which the system is implemented, we simulate and investigate scale-free networks and identify which networks show, and which do not show EWS in the framework of a two state system that exhibits critical transitions. Additionally, we adapt our approach by examining the effective state of the system, rather than its natural state, and conclude that this transformation can reveal hidden EWS in networks where those signals are otherwise obscured by a complex topology. |
format | Online Article Text |
id | pubmed-5734744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57347442017-12-22 Hidden early-warning signals in scale-free networks Jäger, Georg Hofer, Christian Kapeller, Marie Füllsack, Manfred PLoS One Research Article Critical transitions of complex systems can often be predicted by so-called early-warning signals (EWS). In some cases, however, such signals cannot be detected although a critical transition is imminent. Observing a relation of EWS-detectability and the network topology in which the system is implemented, we simulate and investigate scale-free networks and identify which networks show, and which do not show EWS in the framework of a two state system that exhibits critical transitions. Additionally, we adapt our approach by examining the effective state of the system, rather than its natural state, and conclude that this transformation can reveal hidden EWS in networks where those signals are otherwise obscured by a complex topology. Public Library of Science 2017-12-18 /pmc/articles/PMC5734744/ /pubmed/29253905 http://dx.doi.org/10.1371/journal.pone.0189853 Text en © 2017 Jäger et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Jäger, Georg Hofer, Christian Kapeller, Marie Füllsack, Manfred Hidden early-warning signals in scale-free networks |
title | Hidden early-warning signals in scale-free networks |
title_full | Hidden early-warning signals in scale-free networks |
title_fullStr | Hidden early-warning signals in scale-free networks |
title_full_unstemmed | Hidden early-warning signals in scale-free networks |
title_short | Hidden early-warning signals in scale-free networks |
title_sort | hidden early-warning signals in scale-free networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734744/ https://www.ncbi.nlm.nih.gov/pubmed/29253905 http://dx.doi.org/10.1371/journal.pone.0189853 |
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