Cluster of geographic networks and interaction of actors in museums: A representation through weighted graphs
This article aims to determine what are the strong and weak interactions of geographic museum networks in Colombia, with other national and foreign actors. We applied a survey to nine territorial networks that are made up of 222 museums. We obtained the relationship data with 32 types of actors in C...
- Autores:
-
Lis-Gutiérrez, Jenny-Paola
amelec, viloria
Rincón Vásquez, Juan Carlos
Zerda-Sarmiento, Álvaro
Aguilera-Hernández, Doris
Santander-Abril, Jairo
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8014
- Acceso en línea:
- https://hdl.handle.net/11323/8014
https://doi.org/10.1007/978-981-15-5558-9_43
https://repositorio.cuc.edu.co/
- Palabra clave:
- Museum
Weighted graphs
Geographic networks of museums
- Rights
- openAccess
- License
- CC0 1.0 Universal
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dc.title.spa.fl_str_mv |
Cluster of geographic networks and interaction of actors in museums: A representation through weighted graphs |
title |
Cluster of geographic networks and interaction of actors in museums: A representation through weighted graphs |
spellingShingle |
Cluster of geographic networks and interaction of actors in museums: A representation through weighted graphs Museum Weighted graphs Geographic networks of museums |
title_short |
Cluster of geographic networks and interaction of actors in museums: A representation through weighted graphs |
title_full |
Cluster of geographic networks and interaction of actors in museums: A representation through weighted graphs |
title_fullStr |
Cluster of geographic networks and interaction of actors in museums: A representation through weighted graphs |
title_full_unstemmed |
Cluster of geographic networks and interaction of actors in museums: A representation through weighted graphs |
title_sort |
Cluster of geographic networks and interaction of actors in museums: A representation through weighted graphs |
dc.creator.fl_str_mv |
Lis-Gutiérrez, Jenny-Paola amelec, viloria Rincón Vásquez, Juan Carlos Zerda-Sarmiento, Álvaro Aguilera-Hernández, Doris Santander-Abril, Jairo |
dc.contributor.author.spa.fl_str_mv |
Lis-Gutiérrez, Jenny-Paola amelec, viloria Rincón Vásquez, Juan Carlos Zerda-Sarmiento, Álvaro Aguilera-Hernández, Doris Santander-Abril, Jairo |
dc.subject.spa.fl_str_mv |
Museum Weighted graphs Geographic networks of museums |
topic |
Museum Weighted graphs Geographic networks of museums |
description |
This article aims to determine what are the strong and weak interactions of geographic museum networks in Colombia, with other national and foreign actors. We applied a survey to nine territorial networks that are made up of 222 museums. We obtained the relationship data with 32 types of actors in Colombia and abroad. To represent the relationship, we use the weighted graphs. In the case of the geographic networks analyzed, the strongest relationships are with international experts, the Program for the Strengthening of Museums, the media, schools, city halls of the municipalities where the museums are located, judicial entities, and other networks of museums. |
publishDate |
2020 |
dc.date.issued.none.fl_str_mv |
2020-09-08 |
dc.date.accessioned.none.fl_str_mv |
2021-03-15T16:44:35Z |
dc.date.available.none.fl_str_mv |
2021-03-15T16:44:35Z |
dc.type.spa.fl_str_mv |
Pre-Publicación |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_816b |
dc.type.content.spa.fl_str_mv |
Text |
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acceptedVersion |
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18761119 18761100 |
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https://hdl.handle.net/11323/8014 |
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https://doi.org/10.1007/978-981-15-5558-9_43 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.references.spa.fl_str_mv |
1. Ministerio de Cultura de Colombia (2013) Resolución 1975 de 2013. Ministerio de Cultura de Colombia, Bogotá. Retrieved from http://www.museoscolombianos.gov.co/fortalecimiento/sistema-de-informacion-de-museos-colombianos/Documents/Resolucion%201975%20MINCULTURA%20Creación%20Consejo%20Nacional%20de%20Museos.pdf 2. Programa de Fortalecimiento de Museos, Ministerio de Cultura de Colombia (2015) Política Nacional de Museos. Mejores museos, mejores ciudadanos. Ministerio de Cultura de Colombia, Bogotá. Retrieved from http://www.museoscolombianos.gov.co/imagenes/documentos/pol%C3%ADtica%20de%20museos%20definitivo.pdf 3. Programa de Fortalecimiento de Museos (2014) Organización del sector. Museo Nacional, Bogotá. Retrieved from http://www.museoscolombianos.gov.co/fortalecimiento/organizaci%c3%b3n-del-sector/Paginas/Organizacion%20del%20sector.aspx 4. Programa de Fortalecimiento de Museos (2017) En Bogotá, se conformó la Red Nacional de Museos de Medicina. PFM, Bogotá. Retrieved from http://www.museoscolombianos.gov.co/fortalecimiento/comunicaciones/noticias/Paginas/museosmedicina.aspx 5. Grapegia Dal Vesco D, Fernandes FC, Roncon A (2014) Controles de gestão atrelados ao gerenciamento de risco: uma análise das produções científicas brasileiras sob a perspectiva de redes sociais. Redes. Revista hispana para el análisis de redes sociales 25(2):163–185 6. López Ferrer M, Perruchas F, Sanchez Barrioluengo M, Escoto Simó N (2014) Las redes sociales en la industria cinematográfica española:¿ existe relación entre la posición en la red y el reconocimiento social obtenido? Redes. Revista hispana para el análisis de redes sociales 25(2):61–85 7. Estévez González Luna López K, Solleiro Rebolledo J (2007) La Gestión de la Propiedad Intelectual en Centros de Investigación Mexicanos: El Caso del Instituto Mexicano del Petróleo. J Technol Manag Innov 2:157–169. Retrieved from http://66.147.247.32/jotmi_conicyt/index.php/GT/article/view/cas7/410 8. Pasarin L, Teves LS (2014) Vínculos que potencian: la relación entre el análisis de redes sociales (ARS) y la Etnografía. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação 19(40):145–156 9. Castro M (2013) Paisaje y producción textil: Un abordaje desde la ecología política. Anuario Arqueol 5:231–249 10. Castro M (2014) Trasmisión de conocimiento local y cultura material: estudio de la producción textil comunitaria a través del Análisis de Redes Sociales. Runa 35(1):133–134 11. Garrocho Rangel C, Campos Alanís J, Chávez Soto T (2018) Análisis espacial de los inmuebles dañados por el sismo 19S-2017 en la Ciudad de México. Salud Publica Méx 60:31–40. 12. Ramos-Vidal I (2018) Determinantes de la formación de redes interorganizativas en el sector cultural. Rev Adm Empresas 58(1):16A–29A 13. Sewell DK (2018) Heterogeneous susceptibilities in social influence models. Soc Netw 52:135–144. Retrieved from https://www.sciencedirect.com/science/article/pii/S0378873317300771 14. Sewell DK (2017) Network autocorrelation models with egocentric data. Soc Netw 49:113–123. Retrieved from https://www.sciencedirect.com/science/article/pii/S0378873316302568 15. Boss D, Nelson T, Winters M, Ferster CJ (2018) Using crowdsourced data to monitor change in spatial patterns of bicycle ridership. J Transp Health. https://doi.org/10.1016/j.jth.2018.02.008. Retrieved from https://www.sciencedirect.com/science/article/pii/S2214140517307636 16. Fujita A, Takahashi DY, Balardin JB, Vidal MC, Sato JR (2017) Correlation between graphs with an application to brain network analysis. Comput Stat Data Anal 109:76–92. https://doi.org/10.1016/j.csda.2016.11.016 17. Huynh TD, Ebden M, Fischer J, Roberts S, Moreau L (2018) Provenance network analytics. Data Min Knowl Disc 32(3):708–735 18. Pérez-Benito C, Morillas S, Jordán C, Conejero JA (2018) Determinación de componentes conexas en el análisis de zonas homogéneas y de detalle en imágenes a color. In: Modelling in science education and learning, vol 11, no 1. Universitat Politècnica de València, pp 5–14 19. Alfuraidan MR, Khamsi MA (2018) Fixed point, Gregus-Ciric-contraction, monotone mappings, weighted graph. arXiv preprint arXiv:1801.07764 20. Robayo-Acuña PV, Gaitán-Angulo M, Lis-Gutiérrez JP, Peñaloza L, Cubillos-Diaz JK (2016) Dinámicas actuales de la resolución del conflicto armado en Colombia. In: García Rodríguez JF et al (eds) Pobreza, desigualdad y violencia en América Latina. Un enfoque metodológico mixto. Corporación Universitaria Empresarial de Salamanca, Barranquilla, pp 30–52 21. Saadatpour M, Izadi SK, Nasirifar M, Kavousi H (2018) Priority-based clustering in weighted graph streams. J Inf Sci Eng 34(2) 22. Lis-Gutiérrez JP (2016) La economía de la proximidad en la última década. Criterio Libre 14(25):247–269 23. Lis-Gutiérrez JP, Muñoz Segura JP, Gaitán-Angulo M, Henao LC, Viloria A, Malagón L-E, Aguilera-Hernández D (2018) Dynamics of the air passenger transportation market in Colombia (2016). In: Tan Y, Shi Y, Tang Q (eds) Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943 |
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Lis-Gutiérrez, Jenny-Paolaamelec, viloriaRincón Vásquez, Juan CarlosZerda-Sarmiento, ÁlvaroAguilera-Hernández, DorisSantander-Abril, Jairo2021-03-15T16:44:35Z2021-03-15T16:44:35Z2020-09-081876111918761100https://hdl.handle.net/11323/8014https://doi.org/10.1007/978-981-15-5558-9_43Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This article aims to determine what are the strong and weak interactions of geographic museum networks in Colombia, with other national and foreign actors. We applied a survey to nine territorial networks that are made up of 222 museums. We obtained the relationship data with 32 types of actors in Colombia and abroad. To represent the relationship, we use the weighted graphs. In the case of the geographic networks analyzed, the strongest relationships are with international experts, the Program for the Strengthening of Museums, the media, schools, city halls of the municipalities where the museums are located, judicial entities, and other networks of museums.Lis-Gutiérrez, Jenny-Paola-will be generated-orcid-0000-0002-1438-7619-600amelec, viloria-will be generated-orcid-0000-0003-2673-6350-600Rincón Vásquez, Juan Carlos-will be generated-orcid-0000-0001-8625-579X-600Zerda-Sarmiento, ÁlvaroAguilera-Hernández, DorisSantander-Abril, Jairoapplication/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Lecture Notes in Electrical Engineeringhttps://link.springer.com/chapter/10.1007%2F978-981-15-5558-9_43MuseumWeighted graphsGeographic networks of museumsCluster of geographic networks and interaction of actors in museums: A representation through weighted graphsPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersion1. Ministerio de Cultura de Colombia (2013) Resolución 1975 de 2013. Ministerio de Cultura de Colombia, Bogotá. Retrieved from http://www.museoscolombianos.gov.co/fortalecimiento/sistema-de-informacion-de-museos-colombianos/Documents/Resolucion%201975%20MINCULTURA%20Creación%20Consejo%20Nacional%20de%20Museos.pdf2. Programa de Fortalecimiento de Museos, Ministerio de Cultura de Colombia (2015) Política Nacional de Museos. Mejores museos, mejores ciudadanos. Ministerio de Cultura de Colombia, Bogotá. Retrieved from http://www.museoscolombianos.gov.co/imagenes/documentos/pol%C3%ADtica%20de%20museos%20definitivo.pdf3. Programa de Fortalecimiento de Museos (2014) Organización del sector. Museo Nacional, Bogotá. Retrieved from http://www.museoscolombianos.gov.co/fortalecimiento/organizaci%c3%b3n-del-sector/Paginas/Organizacion%20del%20sector.aspx4. Programa de Fortalecimiento de Museos (2017) En Bogotá, se conformó la Red Nacional de Museos de Medicina. PFM, Bogotá. Retrieved from http://www.museoscolombianos.gov.co/fortalecimiento/comunicaciones/noticias/Paginas/museosmedicina.aspx5. Grapegia Dal Vesco D, Fernandes FC, Roncon A (2014) Controles de gestão atrelados ao gerenciamento de risco: uma análise das produções científicas brasileiras sob a perspectiva de redes sociais. Redes. Revista hispana para el análisis de redes sociales 25(2):163–1856. López Ferrer M, Perruchas F, Sanchez Barrioluengo M, Escoto Simó N (2014) Las redes sociales en la industria cinematográfica española:¿ existe relación entre la posición en la red y el reconocimiento social obtenido? Redes. Revista hispana para el análisis de redes sociales 25(2):61–857. Estévez González Luna López K, Solleiro Rebolledo J (2007) La Gestión de la Propiedad Intelectual en Centros de Investigación Mexicanos: El Caso del Instituto Mexicano del Petróleo. J Technol Manag Innov 2:157–169. Retrieved from http://66.147.247.32/jotmi_conicyt/index.php/GT/article/view/cas7/4108. Pasarin L, Teves LS (2014) Vínculos que potencian: la relación entre el análisis de redes sociales (ARS) y la Etnografía. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação 19(40):145–1569. Castro M (2013) Paisaje y producción textil: Un abordaje desde la ecología política. Anuario Arqueol 5:231–24910. Castro M (2014) Trasmisión de conocimiento local y cultura material: estudio de la producción textil comunitaria a través del Análisis de Redes Sociales. Runa 35(1):133–13411. Garrocho Rangel C, Campos Alanís J, Chávez Soto T (2018) Análisis espacial de los inmuebles dañados por el sismo 19S-2017 en la Ciudad de México. Salud Publica Méx 60:31–40.12. Ramos-Vidal I (2018) Determinantes de la formación de redes interorganizativas en el sector cultural. Rev Adm Empresas 58(1):16A–29A13. Sewell DK (2018) Heterogeneous susceptibilities in social influence models. Soc Netw 52:135–144. Retrieved from https://www.sciencedirect.com/science/article/pii/S037887331730077114. Sewell DK (2017) Network autocorrelation models with egocentric data. Soc Netw 49:113–123. Retrieved from https://www.sciencedirect.com/science/article/pii/S037887331630256815. Boss D, Nelson T, Winters M, Ferster CJ (2018) Using crowdsourced data to monitor change in spatial patterns of bicycle ridership. J Transp Health. https://doi.org/10.1016/j.jth.2018.02.008. Retrieved from https://www.sciencedirect.com/science/article/pii/S221414051730763616. Fujita A, Takahashi DY, Balardin JB, Vidal MC, Sato JR (2017) Correlation between graphs with an application to brain network analysis. Comput Stat Data Anal 109:76–92. https://doi.org/10.1016/j.csda.2016.11.01617. Huynh TD, Ebden M, Fischer J, Roberts S, Moreau L (2018) Provenance network analytics. Data Min Knowl Disc 32(3):708–73518. Pérez-Benito C, Morillas S, Jordán C, Conejero JA (2018) Determinación de componentes conexas en el análisis de zonas homogéneas y de detalle en imágenes a color. In: Modelling in science education and learning, vol 11, no 1. Universitat Politècnica de València, pp 5–1419. Alfuraidan MR, Khamsi MA (2018) Fixed point, Gregus-Ciric-contraction, monotone mappings, weighted graph. arXiv preprint arXiv:1801.0776420. Robayo-Acuña PV, Gaitán-Angulo M, Lis-Gutiérrez JP, Peñaloza L, Cubillos-Diaz JK (2016) Dinámicas actuales de la resolución del conflicto armado en Colombia. In: García Rodríguez JF et al (eds) Pobreza, desigualdad y violencia en América Latina. Un enfoque metodológico mixto. Corporación Universitaria Empresarial de Salamanca, Barranquilla, pp 30–5221. Saadatpour M, Izadi SK, Nasirifar M, Kavousi H (2018) Priority-based clustering in weighted graph streams. J Inf Sci Eng 34(2)22. Lis-Gutiérrez JP (2016) La economía de la proximidad en la última década. Criterio Libre 14(25):247–26923. Lis-Gutiérrez JP, Muñoz Segura JP, Gaitán-Angulo M, Henao LC, Viloria A, Malagón L-E, Aguilera-Hernández D (2018) Dynamics of the air passenger transportation market in Colombia (2016). In: Tan Y, Shi Y, Tang Q (eds) Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943PublicationLICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/0d22f37e-50df-4641-9b53-507bf689bb93/downloade30e9215131d99561d40d6b0abbe9badMD53ORIGINALCluster of geographic networks and interaction of actors in museums A representation through weighted graphs.pdfCluster of geographic networks and interaction of actors in museums A representation through weighted graphs.pdfapplication/pdf104304https://repositorio.cuc.edu.co/bitstreams/0b8a627e-382a-4321-a3ff-b3ddecffe1ad/download004c1efc9bd8f45774ad07ab78ca17c7MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/cb48d723-5f55-47c2-92ca-0ed375c7da12/download42fd4ad1e89814f5e4a476b409eb708cMD52THUMBNAILCluster of geographic networks and interaction of actors in museums A representation through weighted graphs.pdf.jpgCluster of geographic networks and interaction of actors in museums A representation through weighted graphs.pdf.jpgimage/jpeg33909https://repositorio.cuc.edu.co/bitstreams/dd620916-7aa2-4d81-a52a-191066974f91/download163c4d9193915d00072104b4aa63771cMD54TEXTCluster of geographic networks and interaction of actors in museums A representation through weighted graphs.pdf.txtCluster of geographic networks and interaction of actors in museums A representation through weighted graphs.pdf.txttext/plain1035https://repositorio.cuc.edu.co/bitstreams/bd77249d-0128-4394-a280-80b9037c0192/download35545c47628814bd226337bf75749a05MD5511323/8014oai:repositorio.cuc.edu.co:11323/80142024-09-17 14:24:27.542http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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