Intellectual property and static and dynamic proximity in colombian museum networks: a representation by iconography of correlations

This paper analyzes the relationship between intellectual property and the different types of proximity in networks of geographic museums in Colombia. For this, we applied a survey to nine territorial networks that are made up of 237 museums. The analyze include the use of different kind of visualiz...

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Autores:
Lis-Gutiérrez, Jenny-Paola
Zerda Sarmiento, Alvaro
Rincón Vásquez, Juan Carlos
amelec, viloria
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/6029
Acceso en línea:
https://hdl.handle.net/11323/6029
https://repositorio.cuc.edu.co/
Palabra clave:
Museum
Weighted graphs
Museums networks
Iconography of correlations
Proximity
Intellectual property
Intellectual property management
Museo
Gráficos ponderados
Redes de museos
Iconografía de correlaciones
Proximidad
Propiedad intelectual
Gestión de propiedad intelectual
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_8d322219043c801f1f11978ce8054a74
oai_identifier_str oai:repositorio.cuc.edu.co:11323/6029
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Intellectual property and static and dynamic proximity in colombian museum networks: a representation by iconography of correlations
dc.title.translated.spa.fl_str_mv Propiedad intelectual y proximidad estática y dinámica en las redes de museos colombianos: una representación por iconografía de correlaciones
title Intellectual property and static and dynamic proximity in colombian museum networks: a representation by iconography of correlations
spellingShingle Intellectual property and static and dynamic proximity in colombian museum networks: a representation by iconography of correlations
Museum
Weighted graphs
Museums networks
Iconography of correlations
Proximity
Intellectual property
Intellectual property management
Museo
Gráficos ponderados
Redes de museos
Iconografía de correlaciones
Proximidad
Propiedad intelectual
Gestión de propiedad intelectual
title_short Intellectual property and static and dynamic proximity in colombian museum networks: a representation by iconography of correlations
title_full Intellectual property and static and dynamic proximity in colombian museum networks: a representation by iconography of correlations
title_fullStr Intellectual property and static and dynamic proximity in colombian museum networks: a representation by iconography of correlations
title_full_unstemmed Intellectual property and static and dynamic proximity in colombian museum networks: a representation by iconography of correlations
title_sort Intellectual property and static and dynamic proximity in colombian museum networks: a representation by iconography of correlations
dc.creator.fl_str_mv Lis-Gutiérrez, Jenny-Paola
Zerda Sarmiento, Alvaro
Rincón Vásquez, Juan Carlos
amelec, viloria
dc.contributor.author.spa.fl_str_mv Lis-Gutiérrez, Jenny-Paola
Zerda Sarmiento, Alvaro
Rincón Vásquez, Juan Carlos
amelec, viloria
dc.subject.spa.fl_str_mv Museum
Weighted graphs
Museums networks
Iconography of correlations
Proximity
Intellectual property
Intellectual property management
Museo
Gráficos ponderados
Redes de museos
Iconografía de correlaciones
Proximidad
Propiedad intelectual
Gestión de propiedad intelectual
topic Museum
Weighted graphs
Museums networks
Iconography of correlations
Proximity
Intellectual property
Intellectual property management
Museo
Gráficos ponderados
Redes de museos
Iconografía de correlaciones
Proximidad
Propiedad intelectual
Gestión de propiedad intelectual
description This paper analyzes the relationship between intellectual property and the different types of proximity in networks of geographic museums in Colombia. For this, we applied a survey to nine territorial networks that are made up of 237 museums. The analyze include the use of different kind of visualization of correlations between variables and agents (in this case, museum networks), the iconography of correlations and the weighted graphs. Among the main findings are that (i) IP protection is independent of the types of proximity that museums and museum networks face; (ii) museum networks do not have the culture of registration of new creations or distinctive signs.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2020-02-17T14:33:17Z
dc.date.available.none.fl_str_mv 2020-02-17T14:33:17Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv [1] Gargate, G., & Momaya, K. S. (2018). “Intellectual property management system: Develop and self-assess using IPM model”. World Patent Information, 52 : 29 -41 .
[2] Jeong, Y., Park, I., & Yoon, B. (2018). “Id entifying emerging Research and Business Development (R&BD) areas based on topic modeling and visualization with intellectual property right data”. Technological Forecasting and Social Change, 146: 655-672.
[3] Stobo, V., Erickson, K., Bertoni, A., & Guerrieri, F. (2018) “Current Best Practices among Cultural Heritage Institutions when Dealing with Copyright Orphan Works and Analysis of Crowdsourcing Options. London: Universities of Leeds.
[4] Lis-Gutiérrez, J. P., Viloria, A., Gaitán-Angulo, M., Balaguera, M. I., & Rodríguez, P. A. (2016). “Museums and management of intellectual property. Journal of Control Theory and Applications, 9 (44): 457-462.
[5] Balland, P.-A., Boschma, R. y Frenken, K. (2013). “Proximity and innovation networks: An evolutionary approach”. En: Cooke, P., Re-Framing Regional Development: Evolution, Innovation and Transition.
[6] Balland, P.-A., Boschma, R. y Frenken, K. (2015). “Proximity and Innovation: From Statics to Dynamics”. Regional Studies, 49(6): 907-920.
[7] Rozenblat, C. (2015). “Approches multiplexes des systèmes de villes dans les réseaux d'entreprises multinationals”. Revue d'Économie Régionale et Urbaine, 3: 393-424.
[8] Lis-Gutiérrez, J. P. (2016). “La economía de la proximidad en la última década”. Criterio Libre, 14(25): 247 -269.
[9] Lis-Gutiérrez, J. P., Rincón-Vásquez, J.C., Zerda-Sarmiento, A., Aguilera-Hernández, D., Viloria, A. and Santander, J. (2019). “Interaction of actors in nine geographic networks of museums in Colombia: a representation through weighted graphs”.
[10] Lis-Gutiérrez, J. P., Zerda-Sarmiento, A., and Viloria, A. (2019). “Intellectual Property in Colombian Museums: An Application of Machine Learning”
[11] McKenna, S., Meyer,M., Gregg, C. y Gerber, S. (2016). “s-CorrPlot: An Interactive Scatterplot for Exploring Correlation”. Journal of Computational and Graphical Statistics, 25(2): 445-463, DOI: 10.1080/10618600.2015.1021926
[12] Epskamp, S., Cramer, A., Waldorp, L., Schmittmann, V., Borsboom, D. (2012). “qgraph: Network Visualizations of Relationships in Psychometric Data”. Journal of Statistical Software, 48(4): 1-18.
[13] Fukushima, A. (2013). “DiffCorr: An R package to analyze and visualize differential correlations in biological networks”. Gene, 518 (2013): 209-214.
[14] Wei, T. (2009). “An Introduction to Matrix Visualization & corrplot Package”. The 2nd Chinese R Conference
[15] Morais, R. M. S. C., Morais, A. M. M. B., Dammak, I., Bonilla, J., Sobral, P. J. A., Laguerre, J. C., Alfonso, M.J, y Ramalhosa, E. C. D. (2018). “Functional Dehydrated Foods for Health Preservation”. Journal of Food Quality, https://doi.org/10.1155/2018/1739636
[16] Laguerre, J.C., Ratovoarisoa, L.G., Vivant, A.C., Gadonna, J.P.., Jouquand, C. (2017). “An iconographic correlation method for optimizing a combined microwave/hot air drying of apple”. 19th International Conference on Food Processing & Technology, Paris, France.
[17] Zhang, Z., McDonnell, K. T., Zadok, E., & Mueller, K. (2015). ”Visual correlation analysis of numerical and categorical data on the correlation map”. IEEE transactions on visualization and computer graphics, 21(2): 289-303
[18] 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 Pública México, 60: 31 -40. https://doi.org/10.21149/9238
[19] Ramos-Vidal, I. (2018). “Determinantes de la formación de redes interorganizativas en el sector cultural”. Revista de Administração de Empresas, 58(1): 16-29A.
[20] Sewell, D. K. (2018). “Heterogeneous susceptibilities in social influence models”. Social Networks, 52: 135-144.
[21] Huynh, T. D., Ebden, M., Fischer, J., Roberts, S., & Moreau, L. (2018). “Provenance network analytics”. Data Mining and Knowledge Discovery, 32(3): 708-735.
[22] Lis-Gutiérrez, J. P. (2019). “Proximidad y gestión de la propiedad intelectual en redes de museos” (Doctoral dissertation, Universidad Nacional de Colombia-Sede Bogotá).
[23] Alfuraidan, M. R., & Khamsi, M. A. (2018). “Fixed point, Gregus-Ciric-contraction, monotone mappings, weighted graph”. arXiv preprint arXiv:1801.07764
[24] Pérez-Benito, C., Morillas, S., Jordán, C., & Conejero, J. A. (2018, February). “Determinación de componentes conexas en el análisis de zonas homogéneas y de detalle en imágenes a color”. Modelling in Science Education and Learning, 11 (1): 5-14 .
[25] Lesty, M. (1999). “Une Nouvelle Approche Dans Le Choix Des Regresseurs De La Regression Multiple En Presence Itinteractions Et De Colinearites”. La Revue de Modulad, 22: 41 -77.
[26] Lesty, M. (2008). “Corrélations Partielles Et « Corrélations Duales »”. La revue de Modulad, 38: 1-22.
[27] Graneix, J., Beguin, JD., Alexis, J. y Masri, T. (2017). “Influence of Yb:YAG Laser Beam Parameters on Haynes 188 Weld Fusion Zone Microstructure and Mechanical Properties”. Metallurgical and Materials Transactions B, 48(4): 2007-2016. https://doi.org/10.1007/s11663-017-0989-6
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spelling Lis-Gutiérrez, Jenny-PaolaZerda Sarmiento, AlvaroRincón Vásquez, Juan Carlosamelec, viloria2020-02-17T14:33:17Z2020-02-17T14:33:17Z201900002010https://hdl.handle.net/11323/6029Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This paper analyzes the relationship between intellectual property and the different types of proximity in networks of geographic museums in Colombia. For this, we applied a survey to nine territorial networks that are made up of 237 museums. The analyze include the use of different kind of visualization of correlations between variables and agents (in this case, museum networks), the iconography of correlations and the weighted graphs. Among the main findings are that (i) IP protection is independent of the types of proximity that museums and museum networks face; (ii) museum networks do not have the culture of registration of new creations or distinctive signs.Este artículo analiza la relación entre la propiedad intelectual y los diferentes tipos de proximidad en redes de museos geográficos en Colombia. Para ello, aplicamos una encuesta a nueve redes territoriales que se componen de 237 museos. El análisis incluye el uso de diferentes tipos de visualización de correlaciones entre variables y agentes (en este caso, redes de museos), la iconografía de correlaciones y los gráficos ponderados. Entre los principales hallazgos se encuentran que (i) la protección de IP es independiente de los tipos de proximidad que enfrentan los museos y las redes de museos; (ii) las redes de museos no tienen la cultura del registro de nuevas creaciones o signos distintivos.Lis-Gutiérrez, Jenny-Paola-will be generated-orcid-0000-0002-1438-7619-600Zerda Sarmiento, Alvaro-will be generated-orcid-0000-0003-2715-1813-600Rincón Vásquez, Juan Carlos-will be generated-orcid-0000-0001-8625-579X-600Amelec, Viloria-will be generated-orcid-0000-0003-2673-6350-600engProcedia Computer ScienceCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2MuseumWeighted graphsMuseums networksIconography of correlationsProximityIntellectual propertyIntellectual property managementMuseoGráficos ponderadosRedes de museosIconografía de correlacionesProximidadPropiedad intelectualGestión de propiedad intelectualIntellectual property and static and dynamic proximity in colombian museum networks: a representation by iconography of correlationsPropiedad intelectual y proximidad estática y dinámica en las redes de museos colombianos: una representación por iconografía de correlacionesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion[1] Gargate, G., & Momaya, K. S. (2018). “Intellectual property management system: Develop and self-assess using IPM model”. World Patent Information, 52 : 29 -41 .[2] Jeong, Y., Park, I., & Yoon, B. (2018). “Id entifying emerging Research and Business Development (R&BD) areas based on topic modeling and visualization with intellectual property right data”. Technological Forecasting and Social Change, 146: 655-672.[3] Stobo, V., Erickson, K., Bertoni, A., & Guerrieri, F. (2018) “Current Best Practices among Cultural Heritage Institutions when Dealing with Copyright Orphan Works and Analysis of Crowdsourcing Options. London: Universities of Leeds.[4] Lis-Gutiérrez, J. P., Viloria, A., Gaitán-Angulo, M., Balaguera, M. I., & Rodríguez, P. A. (2016). “Museums and management of intellectual property. Journal of Control Theory and Applications, 9 (44): 457-462.[5] Balland, P.-A., Boschma, R. y Frenken, K. (2013). “Proximity and innovation networks: An evolutionary approach”. En: Cooke, P., Re-Framing Regional Development: Evolution, Innovation and Transition.[6] Balland, P.-A., Boschma, R. y Frenken, K. (2015). “Proximity and Innovation: From Statics to Dynamics”. Regional Studies, 49(6): 907-920.[7] Rozenblat, C. (2015). “Approches multiplexes des systèmes de villes dans les réseaux d'entreprises multinationals”. Revue d'Économie Régionale et Urbaine, 3: 393-424.[8] Lis-Gutiérrez, J. P. (2016). “La economía de la proximidad en la última década”. Criterio Libre, 14(25): 247 -269.[9] Lis-Gutiérrez, J. P., Rincón-Vásquez, J.C., Zerda-Sarmiento, A., Aguilera-Hernández, D., Viloria, A. and Santander, J. (2019). “Interaction of actors in nine geographic networks of museums in Colombia: a representation through weighted graphs”.[10] Lis-Gutiérrez, J. P., Zerda-Sarmiento, A., and Viloria, A. (2019). “Intellectual Property in Colombian Museums: An Application of Machine Learning”[11] McKenna, S., Meyer,M., Gregg, C. y Gerber, S. (2016). “s-CorrPlot: An Interactive Scatterplot for Exploring Correlation”. Journal of Computational and Graphical Statistics, 25(2): 445-463, DOI: 10.1080/10618600.2015.1021926[12] Epskamp, S., Cramer, A., Waldorp, L., Schmittmann, V., Borsboom, D. (2012). “qgraph: Network Visualizations of Relationships in Psychometric Data”. Journal of Statistical Software, 48(4): 1-18.[13] Fukushima, A. (2013). “DiffCorr: An R package to analyze and visualize differential correlations in biological networks”. Gene, 518 (2013): 209-214.[14] Wei, T. (2009). “An Introduction to Matrix Visualization & corrplot Package”. The 2nd Chinese R Conference[15] Morais, R. M. S. C., Morais, A. M. M. B., Dammak, I., Bonilla, J., Sobral, P. J. A., Laguerre, J. C., Alfonso, M.J, y Ramalhosa, E. C. D. (2018). “Functional Dehydrated Foods for Health Preservation”. Journal of Food Quality, https://doi.org/10.1155/2018/1739636[16] Laguerre, J.C., Ratovoarisoa, L.G., Vivant, A.C., Gadonna, J.P.., Jouquand, C. (2017). “An iconographic correlation method for optimizing a combined microwave/hot air drying of apple”. 19th International Conference on Food Processing & Technology, Paris, France.[17] Zhang, Z., McDonnell, K. T., Zadok, E., & Mueller, K. (2015). ”Visual correlation analysis of numerical and categorical data on the correlation map”. IEEE transactions on visualization and computer graphics, 21(2): 289-303[18] 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 Pública México, 60: 31 -40. https://doi.org/10.21149/9238[19] Ramos-Vidal, I. (2018). “Determinantes de la formación de redes interorganizativas en el sector cultural”. Revista de Administração de Empresas, 58(1): 16-29A.[20] Sewell, D. K. (2018). “Heterogeneous susceptibilities in social influence models”. Social Networks, 52: 135-144.[21] Huynh, T. D., Ebden, M., Fischer, J., Roberts, S., & Moreau, L. (2018). “Provenance network analytics”. Data Mining and Knowledge Discovery, 32(3): 708-735.[22] Lis-Gutiérrez, J. P. (2019). “Proximidad y gestión de la propiedad intelectual en redes de museos” (Doctoral dissertation, Universidad Nacional de Colombia-Sede Bogotá).[23] Alfuraidan, M. R., & Khamsi, M. A. (2018). “Fixed point, Gregus-Ciric-contraction, monotone mappings, weighted graph”. arXiv preprint arXiv:1801.07764[24] Pérez-Benito, C., Morillas, S., Jordán, C., & Conejero, J. A. (2018, February). “Determinación de componentes conexas en el análisis de zonas homogéneas y de detalle en imágenes a color”. Modelling in Science Education and Learning, 11 (1): 5-14 .[25] Lesty, M. (1999). “Une Nouvelle Approche Dans Le Choix Des Regresseurs De La Regression Multiple En Presence Itinteractions Et De Colinearites”. La Revue de Modulad, 22: 41 -77.[26] Lesty, M. (2008). “Corrélations Partielles Et « Corrélations Duales »”. La revue de Modulad, 38: 1-22.[27] Graneix, J., Beguin, JD., Alexis, J. y Masri, T. (2017). “Influence of Yb:YAG Laser Beam Parameters on Haynes 188 Weld Fusion Zone Microstructure and Mechanical Properties”. 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