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Dataset complementary prism networks

The complementary prism of [Formula: see text] , denoted by [Formula: see text] , is the graph obtained from the disjoint union of [Formula: see text] and [Formula: see text] by adding edges between the corresponding vertices of [Formula: see text] and [Formula: see text]. Up to date, the progress o...

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Detalles Bibliográficos
Autores principales: Parra-Inza, Ernesto, Sigarreta-Almira, José María
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507128/
https://www.ncbi.nlm.nih.gov/pubmed/37732294
http://dx.doi.org/10.1016/j.dib.2023.109539
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author Parra-Inza, Ernesto
Sigarreta-Almira, José María
author_facet Parra-Inza, Ernesto
Sigarreta-Almira, José María
author_sort Parra-Inza, Ernesto
collection PubMed
description The complementary prism of [Formula: see text] , denoted by [Formula: see text] , is the graph obtained from the disjoint union of [Formula: see text] and [Formula: see text] by adding edges between the corresponding vertices of [Formula: see text] and [Formula: see text]. Up to date, the progress of experimental research around complementary prisms is limited by the unavailability of publicly available instances that could be used to run extensive experiments and to compare the performance on different topological index solutions and its bounds. For this reason, we decided to make publicly available 435 instances of type [Formula: see text] randomly generated, with increasing network size (from 12 to 1948 nodes). The dataset presents instances of Complementary Prism Networks suitable to measure the Wiener Index and Generalized Wiener Index and the value of these indices for these instances. In addition, are presented the value of some lower and upper bounds proposed in the literature for these indices and their error with respect to the value of the index.
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spelling pubmed-105071282023-09-20 Dataset complementary prism networks Parra-Inza, Ernesto Sigarreta-Almira, José María Data Brief Data Article The complementary prism of [Formula: see text] , denoted by [Formula: see text] , is the graph obtained from the disjoint union of [Formula: see text] and [Formula: see text] by adding edges between the corresponding vertices of [Formula: see text] and [Formula: see text]. Up to date, the progress of experimental research around complementary prisms is limited by the unavailability of publicly available instances that could be used to run extensive experiments and to compare the performance on different topological index solutions and its bounds. For this reason, we decided to make publicly available 435 instances of type [Formula: see text] randomly generated, with increasing network size (from 12 to 1948 nodes). The dataset presents instances of Complementary Prism Networks suitable to measure the Wiener Index and Generalized Wiener Index and the value of these indices for these instances. In addition, are presented the value of some lower and upper bounds proposed in the literature for these indices and their error with respect to the value of the index. Elsevier 2023-09-03 /pmc/articles/PMC10507128/ /pubmed/37732294 http://dx.doi.org/10.1016/j.dib.2023.109539 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Parra-Inza, Ernesto
Sigarreta-Almira, José María
Dataset complementary prism networks
title Dataset complementary prism networks
title_full Dataset complementary prism networks
title_fullStr Dataset complementary prism networks
title_full_unstemmed Dataset complementary prism networks
title_short Dataset complementary prism networks
title_sort dataset complementary prism networks
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507128/
https://www.ncbi.nlm.nih.gov/pubmed/37732294
http://dx.doi.org/10.1016/j.dib.2023.109539
work_keys_str_mv AT parrainzaernesto datasetcomplementaryprismnetworks
AT sigarretaalmirajosemaria datasetcomplementaryprismnetworks