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Calculation of the Connected Dominating Set Considering Vertex Importance Metrics

The computation of a set constituted by few vertices to define a virtual backbone supporting information interchange is a problem that arises in many areas when analysing networks of different natures, like wireless, brain, or social networks. Recent papers propose obtaining such a set of vertices b...

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Detalles Bibliográficos
Autores principales: Vazquez-Araujo, Francisco, Dapena, Adriana, Souto-Salorio, María José, Castro, Paula M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512650/
https://www.ncbi.nlm.nih.gov/pubmed/33265178
http://dx.doi.org/10.3390/e20020087
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author Vazquez-Araujo, Francisco
Dapena, Adriana
Souto-Salorio, María José
Castro, Paula M.
author_facet Vazquez-Araujo, Francisco
Dapena, Adriana
Souto-Salorio, María José
Castro, Paula M.
author_sort Vazquez-Araujo, Francisco
collection PubMed
description The computation of a set constituted by few vertices to define a virtual backbone supporting information interchange is a problem that arises in many areas when analysing networks of different natures, like wireless, brain, or social networks. Recent papers propose obtaining such a set of vertices by computing the connected dominating set (CDS) of a graph. In recent works, the CDS has been obtained by considering that all vertices exhibit similar characteristics. However, that assumption is not valid for complex networks in which their vertices can play different roles. Therefore, we propose finding the CDS by taking into account several metrics which measure the importance of each network vertex e.g., error probability, entropy, or entropy variation (EV).
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spelling pubmed-75126502020-11-09 Calculation of the Connected Dominating Set Considering Vertex Importance Metrics Vazquez-Araujo, Francisco Dapena, Adriana Souto-Salorio, María José Castro, Paula M. Entropy (Basel) Article The computation of a set constituted by few vertices to define a virtual backbone supporting information interchange is a problem that arises in many areas when analysing networks of different natures, like wireless, brain, or social networks. Recent papers propose obtaining such a set of vertices by computing the connected dominating set (CDS) of a graph. In recent works, the CDS has been obtained by considering that all vertices exhibit similar characteristics. However, that assumption is not valid for complex networks in which their vertices can play different roles. Therefore, we propose finding the CDS by taking into account several metrics which measure the importance of each network vertex e.g., error probability, entropy, or entropy variation (EV). MDPI 2018-01-28 /pmc/articles/PMC7512650/ /pubmed/33265178 http://dx.doi.org/10.3390/e20020087 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vazquez-Araujo, Francisco
Dapena, Adriana
Souto-Salorio, María José
Castro, Paula M.
Calculation of the Connected Dominating Set Considering Vertex Importance Metrics
title Calculation of the Connected Dominating Set Considering Vertex Importance Metrics
title_full Calculation of the Connected Dominating Set Considering Vertex Importance Metrics
title_fullStr Calculation of the Connected Dominating Set Considering Vertex Importance Metrics
title_full_unstemmed Calculation of the Connected Dominating Set Considering Vertex Importance Metrics
title_short Calculation of the Connected Dominating Set Considering Vertex Importance Metrics
title_sort calculation of the connected dominating set considering vertex importance metrics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512650/
https://www.ncbi.nlm.nih.gov/pubmed/33265178
http://dx.doi.org/10.3390/e20020087
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