Comparative analysis of the global innovation index combining the graph visualization and topological data analysis approaches

Autores:: Yépez, Rolando Ismael
Ormaza, Maricela Fernanda

Tipo de recurso:: Article of journal

Fecha de publicación:: 2025

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:: eng

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dc.title.spa.fl_str_mv	Comparative analysis of the global innovation index combining the graph visualization and topological data analysis approaches
title	Comparative analysis of the global innovation index combining the graph visualization and topological data analysis approaches
spellingShingle	Comparative analysis of the global innovation index combining the graph visualization and topological data analysis approaches Global Innovation Index Topological data analysis Innovation Persistent homology Índice Global de Innovación Análisis Topológico de Datos Innovación Homología persistente
title_short	Comparative analysis of the global innovation index combining the graph visualization and topological data analysis approaches
title_full	Comparative analysis of the global innovation index combining the graph visualization and topological data analysis approaches
title_fullStr	Comparative analysis of the global innovation index combining the graph visualization and topological data analysis approaches
title_full_unstemmed	Comparative analysis of the global innovation index combining the graph visualization and topological data analysis approaches
title_sort	Comparative analysis of the global innovation index combining the graph visualization and topological data analysis approaches
dc.creator.fl_str_mv	Yépez, Rolando Ismael Ormaza, Maricela Fernanda
dc.contributor.author.spa.fl_str_mv	Yépez, Rolando Ismael Ormaza, Maricela Fernanda
dc.subject.none.fl_str_mv	Global Innovation Index Topological data analysis Innovation Persistent homology Índice Global de Innovación Análisis Topológico de Datos Innovación Homología persistente
topic	Global Innovation Index Topological data analysis Innovation Persistent homology Índice Global de Innovación Análisis Topológico de Datos Innovación Homología persistente
publishDate	2025
dc.date.accessioned.none.fl_str_mv	2025-07-15 00:00:00
dc.date.available.none.fl_str_mv	2025-07-15 00:00:00
dc.date.issued.none.fl_str_mv	2025-07-15
dc.type.spa.fl_str_mv	Artículo de revista
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dc.identifier.doi.none.fl_str_mv	10.19053/uptc.20278306.v15.n2.2025.19629
dc.identifier.eissn.none.fl_str_mv	2389-9417
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dc.language.iso.eng.fl_str_mv	eng
language	eng
dc.relation.references.eng.fl_str_mv	Alqararah, K. (2023). Assessing the robustness of composite indicators: the case of the Global Innovation Index. Journal of Innovation and Entrepreneurship, 12, 61. https://doi.org/10.1186/s13731-023-00332-w Atsu, F., & Adams, S. (2023). Financial development and innovation: Do institutions and human capital matter? Heliyon, 9 (8), e19015. https://doi.org/10.1016/j.heliyon.2023.e19015 Borodin, A., Mityushina, I., Streltsova, E., Kulikov, A., Yakovenko, I., & Namitulina, A. (2021). Mathematical modeling for financial analysis of an enterprise: Motivating of not open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7 (1), 79. https://doi.org/10.3390/joitmc7010079 Bate, A. F., Wachira, E. W., & Danka, S. (2023). The determinants of innovation performance: an income-based cross-country comparative analysis using the Global Innovation Index (GII). Journal of Innovation and Entrepreneurship, 12, 20. https://doi.org/10.1186/s13731-023-00283-2 Brás, G. R. (2023). Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers' use. Data in Brief, 46, 108818. https://doi.org/10.1016/j.dib.2022.108818 Cao, X., Zhou, Y., Li, T., Wang, C., & Wu, P. (2024). Symptom networks analysis among people with Menière’s disease: Application for nursing care. International Journal of Nursing Sciences, 11 (2), 214-221. https://doi.org/10.1016/j.ijnss.2024.03.014 Carlsson, G. (2009). Topology and data. Bulletin of the American Mathematical Society, 46 (2), 255-308. Cottrell, S., Hozumi, Y., & Wei, G.-W. (2024). K-nearest-neighbors induced topological PCA for single cell RNA-sequence data analysis. Computers in Biology and Medicine, 175, 108497. Cui, Z., & Diwu, S. (2024). Human capital upgrading and enterprise innovation efficiency. Finance Research Letters, 65, 105628. https://doi.org/10.1016/j.frl.2024.105628 Gajdoš, P., Ježowicz, T., Uher, V., & Dohnálek, P. (2016). A parallel Fruchterman–Reingold algorithm optimized for fast visualization of large graphs and swarms of data. Swarm and Evolutionary Computation, 26, 56-63. https://doi.org/10.1016/j.swevo.2015.07.006 Giunti, B., Nolan, J. S., Otter, N., & Waas, L. (2024). Amplitudes in persistence theory. Journal of Pure and Applied Algebra, 228 (12), 107770. https://doi.org/10.1016/j.jpaa.2024.107770 Güell, F. (2022, 31 de octubre). Análisis del Global Innovation Index (GII) 2022. Innovación y Estrategia. https://fguell.com/analisis-del-global-innovation-index-gii-2022/ Hamdouch, A., & Nyseth, T. (2023). Can institutional innovation change the city? Theoretical landmarks and research perspectives. Cities, 137, 104287. Hansen, D. L., Shneiderman, B., Smith, M. A., & Himelboim, I. (2020). Instalación, orientación y disposición. In Análisis de redes sociales con NodeXL (segunda edición), 55-66. Huarng, K.-H., & Yu, T. H.-K. (2022). Analysis of Global Innovation Index by structural qualitative association. Technological Forecasting and Social Change, 182, 121850. https://doi.org/10.1016/j.techfore.2022.121850 Jewell, C. (2022, diciembre). El Índice Mundial de Innovación 2022 indaga en el futuro del crecimiento impulsado por la innovación. Revista de la OMPI. https://www.wipo.int/wipo_magazine/es/2022/04/article_0001.html Nasir, M. H., & Zhang, S. (2024). Evaluating innovative factors of the global innovation index: A panel data approach. Innovation and Green Development, 3 (1), 100096. https://doi.org/10.1016/j.igd.2023.100096 Petelin, G., Cenikj, G., & Eftimov, T. (2024). TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting. Swarm and Evolutionary Computation, 84, 101448. https://doi.org/10.1016/j.swevo.2023.101448 Schiuma, G., & Santarsiero, F. (2023). Innovation labs as organisational catalysts for innovation capacity development: A systematic literature review. Technovation, 123, 102690. https://doi.org/10.1016/j.technovation.2023.102690 Smith, A. D., Dłotko, P., & Zavala, V. M. (2021). Topological data analysis: Concepts, computation, and applications in chemical engineering. Computers & Chemical Engineering, 146, 107202. https://doi.org/10.1016/j.compchemeng.2020.107202 Skaf, Y., & Laubenbacher, R. (2022). Topological data analysis in biomedicine: A review. Journal of Biomedical Informatics, 130, 104082. https://doi.org/10.1016/j.jbi.2022.104082
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dc.relation.citationedition.spa.fl_str_mv	Núm. 2 , Año 2025 : Julio-Diciembre
dc.rights.eng.fl_str_mv	Revista de Investigación, Desarrollo e Innovación - 2025
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spelling	Yépez, Rolando IsmaelOrmaza, Maricela Fernanda2025-07-15 00:00:002025-07-15 00:00:002025-07-152027-830610.19053/uptc.20278306.v15.n2.2025.196292389-9417https://doi.org/10.19053/uptc.20278306.v15.n2.2025.19629application/pdftext/xmlengUniversidad Pedagógica y Tecnológica de ColombiaRevista de Investigación, Desarrollo e Innovación - 2025https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessEsta obra está bajo una licencia internacional Creative Commons Atribución 4.0.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/19629Global Innovation IndexTopological data analysisInnovationPersistent homologyÍndice Global de InnovaciónAnálisis Topológico de DatosInnovaciónHomología persistenteComparative analysis of the global innovation index combining the graph visualization and topological data analysis approachesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85Alqararah, K. (2023). Assessing the robustness of composite indicators: the case of the Global Innovation Index. Journal of Innovation and Entrepreneurship, 12, 61. https://doi.org/10.1186/s13731-023-00332-wAtsu, F., & Adams, S. (2023). Financial development and innovation: Do institutions and human capital matter? Heliyon, 9 (8), e19015. https://doi.org/10.1016/j.heliyon.2023.e19015Borodin, A., Mityushina, I., Streltsova, E., Kulikov, A., Yakovenko, I., & Namitulina, A. (2021). Mathematical modeling for financial analysis of an enterprise: Motivating of not open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7 (1), 79. https://doi.org/10.3390/joitmc7010079Bate, A. F., Wachira, E. W., & Danka, S. (2023). The determinants of innovation performance: an income-based cross-country comparative analysis using the Global Innovation Index (GII). Journal of Innovation and Entrepreneurship, 12, 20. https://doi.org/10.1186/s13731-023-00283-2Brás, G. R. (2023). Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers' use. Data in Brief, 46, 108818. https://doi.org/10.1016/j.dib.2022.108818Cao, X., Zhou, Y., Li, T., Wang, C., & Wu, P. (2024). Symptom networks analysis among people with Menière’s disease: Application for nursing care. International Journal of Nursing Sciences, 11 (2), 214-221. https://doi.org/10.1016/j.ijnss.2024.03.014Carlsson, G. (2009). Topology and data. Bulletin of the American Mathematical Society, 46 (2), 255-308.Cottrell, S., Hozumi, Y., & Wei, G.-W. (2024). K-nearest-neighbors induced topological PCA for single cell RNA-sequence data analysis. Computers in Biology and Medicine, 175, 108497.Cui, Z., & Diwu, S. (2024). Human capital upgrading and enterprise innovation efficiency. Finance Research Letters, 65, 105628. https://doi.org/10.1016/j.frl.2024.105628Gajdoš, P., Ježowicz, T., Uher, V., & Dohnálek, P. (2016). A parallel Fruchterman–Reingold algorithm optimized for fast visualization of large graphs and swarms of data. Swarm and Evolutionary Computation, 26, 56-63. https://doi.org/10.1016/j.swevo.2015.07.006Giunti, B., Nolan, J. S., Otter, N., & Waas, L. (2024). Amplitudes in persistence theory. Journal of Pure and Applied Algebra, 228 (12), 107770. https://doi.org/10.1016/j.jpaa.2024.107770Güell, F. (2022, 31 de octubre). Análisis del Global Innovation Index (GII) 2022. Innovación y Estrategia. https://fguell.com/analisis-del-global-innovation-index-gii-2022/Hamdouch, A., & Nyseth, T. (2023). Can institutional innovation change the city? Theoretical landmarks and research perspectives. Cities, 137, 104287.Hansen, D. L., Shneiderman, B., Smith, M. A., & Himelboim, I. (2020). Instalación, orientación y disposición. In Análisis de redes sociales con NodeXL (segunda edición), 55-66.Huarng, K.-H., & Yu, T. H.-K. (2022). Analysis of Global Innovation Index by structural qualitative association. Technological Forecasting and Social Change, 182, 121850. https://doi.org/10.1016/j.techfore.2022.121850Jewell, C. (2022, diciembre). El Índice Mundial de Innovación 2022 indaga en el futuro del crecimiento impulsado por la innovación. Revista de la OMPI. https://www.wipo.int/wipo_magazine/es/2022/04/article_0001.htmlNasir, M. H., & Zhang, S. (2024). Evaluating innovative factors of the global innovation index: A panel data approach. Innovation and Green Development, 3 (1), 100096. https://doi.org/10.1016/j.igd.2023.100096Petelin, G., Cenikj, G., & Eftimov, T. (2024). TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting. Swarm and Evolutionary Computation, 84, 101448. https://doi.org/10.1016/j.swevo.2023.101448Schiuma, G., & Santarsiero, F. (2023). Innovation labs as organisational catalysts for innovation capacity development: A systematic literature review. Technovation, 123, 102690. https://doi.org/10.1016/j.technovation.2023.102690Smith, A. D., Dłotko, P., & Zavala, V. M. (2021). Topological data analysis: Concepts, computation, and applications in chemical engineering. Computers & Chemical Engineering, 146, 107202. https://doi.org/10.1016/j.compchemeng.2020.107202Skaf, Y., & Laubenbacher, R. (2022). Topological data analysis in biomedicine: A review. Journal of Biomedical Informatics, 130, 104082. https://doi.org/10.1016/j.jbi.2022.104082316229515Revista de Investigación, Desarrollo e Innovaciónhttps://revistas.uptc.edu.co/index.php/investigacion_duitama/article/download/19629/15938https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/download/19629/16968Núm. 2 , Año 2025 : Julio-DiciembrePublicationOREORE.xmltext/xml2763https://repositorio.uptc.edu.co/bitstreams/2dac418a-9efa-4313-82ee-873f8a35440f/download525d2e07758b0c94a0cfcdd8c20e52d9MD51falseAnonymousREAD001/21541oai:repositorio.uptc.edu.co:001/215412026-09-30 09:05:56.282https://creativecommons.org/licenses/by/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Comparative analysis of the global innovation index combining the graph visualization and topological data analysis approaches

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