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On the calculation of betweenness centrality in marine connectivity studies using transfer probabilities
Betweenness has been used in a number of marine studies to identify portions of sea that sustain the connectivity of whole marine networks. Herein we highlight the need of methodological exactness in the calculation of betweenness when graph theory is applied to marine connectivity studies based on...
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/PMC5726639/ https://www.ncbi.nlm.nih.gov/pubmed/29232386 http://dx.doi.org/10.1371/journal.pone.0189021 |
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author | Costa, Andrea Petrenko, Anne A. Guizien, Katell Doglioli, Andrea M. |
author_facet | Costa, Andrea Petrenko, Anne A. Guizien, Katell Doglioli, Andrea M. |
author_sort | Costa, Andrea |
collection | PubMed |
description | Betweenness has been used in a number of marine studies to identify portions of sea that sustain the connectivity of whole marine networks. Herein we highlight the need of methodological exactness in the calculation of betweenness when graph theory is applied to marine connectivity studies based on transfer probabilities. We show the inconsistency in calculating betweeness directly from transfer probabilities and propose a new metric for the node-to-node distance that solves it. Our argumentation is illustrated by both simple theoretical examples and the analysis of a literature data set. |
format | Online Article Text |
id | pubmed-5726639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57266392017-12-22 On the calculation of betweenness centrality in marine connectivity studies using transfer probabilities Costa, Andrea Petrenko, Anne A. Guizien, Katell Doglioli, Andrea M. PLoS One Research Article Betweenness has been used in a number of marine studies to identify portions of sea that sustain the connectivity of whole marine networks. Herein we highlight the need of methodological exactness in the calculation of betweenness when graph theory is applied to marine connectivity studies based on transfer probabilities. We show the inconsistency in calculating betweeness directly from transfer probabilities and propose a new metric for the node-to-node distance that solves it. Our argumentation is illustrated by both simple theoretical examples and the analysis of a literature data set. Public Library of Science 2017-12-12 /pmc/articles/PMC5726639/ /pubmed/29232386 http://dx.doi.org/10.1371/journal.pone.0189021 Text en © 2017 Costa 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 Costa, Andrea Petrenko, Anne A. Guizien, Katell Doglioli, Andrea M. On the calculation of betweenness centrality in marine connectivity studies using transfer probabilities |
title | On the calculation of betweenness centrality in marine connectivity studies using transfer probabilities |
title_full | On the calculation of betweenness centrality in marine connectivity studies using transfer probabilities |
title_fullStr | On the calculation of betweenness centrality in marine connectivity studies using transfer probabilities |
title_full_unstemmed | On the calculation of betweenness centrality in marine connectivity studies using transfer probabilities |
title_short | On the calculation of betweenness centrality in marine connectivity studies using transfer probabilities |
title_sort | on the calculation of betweenness centrality in marine connectivity studies using transfer probabilities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5726639/ https://www.ncbi.nlm.nih.gov/pubmed/29232386 http://dx.doi.org/10.1371/journal.pone.0189021 |
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