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Network motifs and their origins

Modern network science is a new and exciting research field that has transformed the study of complex systems over the last 2 decades. Of particular interest is the identification of small “network motifs” that might be embedded in a larger network and that indicate the presence of evolutionary desi...

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Detalles Bibliográficos
Autores principales: Stone, Lewi, Simberloff, Daniel, Artzy-Randrup, Yael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6459481/
https://www.ncbi.nlm.nih.gov/pubmed/30973867
http://dx.doi.org/10.1371/journal.pcbi.1006749
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author Stone, Lewi
Simberloff, Daniel
Artzy-Randrup, Yael
author_facet Stone, Lewi
Simberloff, Daniel
Artzy-Randrup, Yael
author_sort Stone, Lewi
collection PubMed
description Modern network science is a new and exciting research field that has transformed the study of complex systems over the last 2 decades. Of particular interest is the identification of small “network motifs” that might be embedded in a larger network and that indicate the presence of evolutionary design principles or have an overly influential role on system-wide dynamics. Motifs are patterns of interconnections, or subgraphs, that appear in an observed network significantly more often than in compatible randomized networks. The concept of network motifs was introduced into Systems Biology by Milo, Alon and colleagues in 2002, quickly revolutionized the field, and it has had a huge impact in wider scientific domains ever since. Here, we argue that the same concept and tools for the detection of motifs were well known in the ecological literature decades into the last century, a fact that is generally not recognized. We review the early history of network motifs, their evolution in the mathematics literature, and their recent rediscoveries.
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spelling pubmed-64594812019-05-03 Network motifs and their origins Stone, Lewi Simberloff, Daniel Artzy-Randrup, Yael PLoS Comput Biol Perspective Modern network science is a new and exciting research field that has transformed the study of complex systems over the last 2 decades. Of particular interest is the identification of small “network motifs” that might be embedded in a larger network and that indicate the presence of evolutionary design principles or have an overly influential role on system-wide dynamics. Motifs are patterns of interconnections, or subgraphs, that appear in an observed network significantly more often than in compatible randomized networks. The concept of network motifs was introduced into Systems Biology by Milo, Alon and colleagues in 2002, quickly revolutionized the field, and it has had a huge impact in wider scientific domains ever since. Here, we argue that the same concept and tools for the detection of motifs were well known in the ecological literature decades into the last century, a fact that is generally not recognized. We review the early history of network motifs, their evolution in the mathematics literature, and their recent rediscoveries. Public Library of Science 2019-04-11 /pmc/articles/PMC6459481/ /pubmed/30973867 http://dx.doi.org/10.1371/journal.pcbi.1006749 Text en © 2019 Stone 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 Perspective
Stone, Lewi
Simberloff, Daniel
Artzy-Randrup, Yael
Network motifs and their origins
title Network motifs and their origins
title_full Network motifs and their origins
title_fullStr Network motifs and their origins
title_full_unstemmed Network motifs and their origins
title_short Network motifs and their origins
title_sort network motifs and their origins
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6459481/
https://www.ncbi.nlm.nih.gov/pubmed/30973867
http://dx.doi.org/10.1371/journal.pcbi.1006749
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