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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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 |
_version_ | 1785107245355237376 |
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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. |
format | Online Article Text |
id | pubmed-10507128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |