Identification of a university community on Facebook for the dissemination of science and culture

Vista sencilla de ítem
dc.audienceComunidad Universidad de Medellínspa
dc.contributor.authorVelazquez-Solis, Paola
dc.contributor.authorFlores-Rios, Brenda
dc.contributor.authorIbarra-Esquer, Jorge
dc.contributor.authorCarrillo-Beltran, Monica
dc.contributor.authorAstorga-Vargas, María Angélica
dc.contributor.authorAguilar-Vera Raul
dc.coverage.spatialLat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degreesLong: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.date.accessioned2024-11-01T13:48:28Z
dc.date.available2024-11-01T13:48:28Z
dc.date.issued2024-05-10
dc.descriptionSocial network analysis is a method that allows the identification and examination of structures of various types of data, objects, or user groups, as well as the interactions created by a community and the relationships that exist between them. To characterize the virtual community of a higher education institution, the Fruchterman-Reingold, Yifan Hu, and Noverlap algorithms were applied using the Gephi tool for the análisis and modeling of 30 Facebook fan pages dedicated to the promotion of culture and the dissemination of science. The results show a relationship with the direction and number of edges for each of the 30 nodes for each algorithm applied. The focus of the analysis provided information about the dynamics of the virtual university community, allowing a visual understanding of how members connect and communicate within the Facebook social network.eng
dc.descriptionEl análisis de red social es un método que permite identificar y examinar estructuras de diversos tipos de datos, objetos o grupos de usuarios, así como las interacciones creadas por una comunidad y las relaciones que existen entre ellas. Con el objetivo de caracterizar la comunidad virtual de una institución de educación superior, se aplicaron los algoritmos Fruchterman-Reingold, Yifan Hu y Noverlap, por medio de la herramienta Gephi, para el análisis y modelado de 30 fan pages de Facebook dedicadas a la promoción de la cultura y divulgación de la ciencia. Los resultados presentan una relación con la dirección y cantidad de aristas por cada uno de los 30 nodos para cada algoritmo aplicado. El enfoque del análisis proporcionó información acerca de la dinámica de la comunidad virtual universitaria, permitiendo una comprensión visual de cómo se conectan y comunican los miembros dentro de la red social Facebook.spa
dc.format.extentp. 1-13spa
dc.format.mediumElectrónicospa
dc.format.mimetypePDF
dc.identifier.doihttps://doi.org/10.22395/rium.v23n44a5
dc.identifier.eissn2248-4094
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.issn1692-3324
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttp://hdl.handle.net/11407/8633
dc.language.isospa
dc.publisherUniversidad de Medellínspa
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.placeMedellínspa
dc.relation.citationendpage13
dc.relation.citationissue44
dc.relation.citationstartpage1
dc.relation.citationvolume23
dc.relation.haspartRevista Ingenierías Universidad de Medellín; Vol. 23 Núm. 44 enero-junio 2024spa
dc.relation.ispartofseriesRevista Ingenierías Universidad de Medellín; Vol. 23 No. 44 (2024)spa
dc.relation.referencesFroment F, García-González AJ, Cabero J. The relationship of Twitter with teacher credibility and motivation in university students. Comunicar, 2022 Apr; 30 (71): 1-12. doi: 10.3916/ C71-2022-10
dc.relation.referencesVelázquez-Solis PE, Flores-Ríos BL, Astorga-Vargas MA, Ibarra-Esquer JE, González Navarro FF, Aguilar Vera RA. Analysis of scientific dissemination posts on Facebook from a social media approach. In: CISTI’2022 - 17a Conferencia Ibérica de Sistemas y Tecnologías de Información, 2022.
dc.relation.referencesHollenbeck CR, Kaikati AM. Consumers’ use of brands to reflect their actual and ideal selves on Facebook. International Journal of Research in Marketing, 2012 Dec; 29 (4): 395-405. doi: 10.1016/j.ijresmar.2012.06.002
dc.relation.referencesChoi J-A, Lim K. Identifying machine learning techniques for classification of target advertising. ICT Express, 2020 Sep; 6 (3): 175-180. doi: 10.1016/j.icte.2020.04.012
dc.relation.referencesBiswal SK, Muley P. Data Mining in Social Network Analysis. International Journal of Innovations in Engineering Research and Technology, 2018 May; 5 (5).
dc.relation.referencesPudjajana AM, Manongga D, Iriani A, Purnomo HD. Identification of Influencers in Social Media using Social Network Analysis (SNA). In: 2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2018: 400-404. doi: 10.1109/ISRITI.2018.8864458
dc.relation.referencesTsugawa S. A survey of social network analysis techniques and their applications to socially aware networking. IEICE Transactions and Communications, 2019 Jan; E102.B (1): 17-39. doi: 10.1587/transcom.2017EBI0003
dc.relation.referencesBrito S, Basualto Porra L, Reyes Ochoa L. Inclusión social/educativa, en clave de educación superior. Revista Latinoamericanda de Educación Inclusiva, 2019 Dic; 13 (2): 157-172. doi: 10.4067/s0718-73782019000200157
dc.relation.referencesBrito J, Laaser W, Toloza EA. El uso de redes sociales por parte de las universidades a nivel institucional. Un estudio comparativo. RED: Revista de Educación a Distancia, 2012; (32): 6-38.
dc.relation.referencesDey P, Roy S. A Comparative Analysis of Different Social Network Parameters Derived from Facebook Profiles. In: Satapathy S, Raju K, Mandal J, Bhateja V, editors. Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 379. New Delhi: Springer, 2016: 125-132. doi: 10.1007/978-81-322-2517-1_13.
dc.relation.referencesAkhtar N. Social Network Analysis Tools. In: Proceedings of 2014 4th International Conference on Communication Systems and Network Technologies, CSNT 2014, 2014 April 7-9: 388-392. doi: 10.1109/CSNT.2014.83
dc.relation.referencesWahyuningtyas R, Alamsyah A, Diliana NA. Mapping Digital Talent Based on Competency using Social Network Analysis. In: Proceedings of 2021 2nd International Conference on ICT for Rural Development (IC-ICTRuDev), 2021 Oct 27-28. doi: 10.1109/IC-ICTRuDev50538.2021.9656521
dc.relation.referencesHanneman RA, Riddle M. Introduction to Social Network Methods [online]. Riverside, CA: University of California, 2005. http://www.faculty.ucr.edu/~hanneman/nettext/
dc.relation.referencesGupta S, Khatri B, Gupta T, Kumar N. Modified partition integration method for community detection in multidimensional social networks. In: Proceedings of 2015 11th International Conference on Natural Computation (icnc), 2015 Aug 15-17, Zhangjiajie, China. IEEE: 2016 January: 1188-1195. doi: 10.1109/ICNC.2015.7378160
dc.relation.referencesKuz A, Falco M, Giandini R. Análisis de redes sociales: un caso práctico. Computación y Sistemas, 2016; 20 (1): 89-106. doi: 10.13053/CyS-20-1-2321
dc.relation.referencesYi S, Liu Q, Yan W. How Corporations Utilize Academic Social Networking Website?: A Case Study of Health & Biomedicine Corporations. In: Chen H, Fang Q, Zeng D, Wu J, editors. Smart Health. Proceedings International Conference, ICSH 2018, Wuhan, China, 2018 July 1-3: 325-331. https://link.springer.com/chapter/10.1007/978-3-030-03649-2_3
dc.relation.referencesMatei S. 'Analyzing Social Media Networks with NodeXL: Insights from a Connected World' by Derek Hansen, Ben Shneiderman, and Marc A. Smith: Burlington, MA: Morgan Kauffman, 2011. 284 pages. ISBN: 978-0-12-382229-1. International Journal of Human-Computer Interaction, 2011; 27 (4): 405-408. doi: 10.1080/10447318.2011.544971
dc.relation.referencesMorales-i-Gras J. Comprensión de las redes sociales. Barcelona: Fundació Universitat Oberta de Catalunya (fuoc), 2021.
dc.relation.referencesHumberstone J. Análisis de redes sociales: identificación de comunidades virtuales en Twitter. Realidad y Reflexión, 2019 Dic; 50 (50): 70-81. doi: 10.5377/ryr.v50i50.9095
dc.relation.referencesDiliana NA, Indrawati. Identification of Influencers and Community of Lazada Using Social Network Analysis. In: 2022 International Conference on Data Science and Its Applications (ICoDSA), 2022 Jul 6-7: 305-308. doi: 10.1109/ICoDSA55874.2022.9862849
dc.relation.referencesBedi P, Sharma C. Community detection in social networks. WIREs (Wiley Interdisciplinary Reviews). Data Mining and Knowledge Discovery, 2016 May-Jun; 6 (3): 115-135. doi: 10.1002/widm.1178
dc.relation.referencesVelázquez-Solis PE, Flores-Ríos BL. Knowledge Flows Approach for Design of a Social Media Software Architecture. In: 2021 Mexican International Conference on Computer Science (ENC), Morelia, México 2021.
dc.relation.urihttps://revistas.udem.edu.co/index.php/ingenierias/article/view/4706
dc.rights.creativecommonsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0*
dc.sourceRevista Ingenierías Universidad de Medellín; Vol. 22 No. 42 (2023): (enero-junio); 1-13
dc.subjectSocial network analysiseng
dc.subjectGraph modelingeng
dc.subjectUniversity communityeng
dc.subjectGephieng
dc.subjectFruchterman-Reingoldeng
dc.subjectYifan Hueng
dc.subjectNoverlapeng
dc.subjectAnálisis de red socialspa
dc.subjectModelado de grafosspa
dc.subjectComunidad universitariaspa
dc.subjectGephispa
dc.subjectFruchterman-Reingoldspa
dc.subjectYifan Huspa
dc.subjectNoverlapspa
dc.titleIdentification of a university community on Facebook for the dissemination of science and cultureeng
dc.titleIdentificación de una comunidad universitaria en Facebook para la divulgación de la ciencia y la culturaspa
dc.typearticle
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.driverinfo:eu-repo/semantics/article
dc.type.localArtículo científicospa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

Archivos

Bloque original

Mostrando 1 - 1 de 1
Miniatura
Nombre:
Revista_Ingenierias_UdeM_449.pdf
Tamaño:
708.55 KB
Formato:
Adobe Portable Document Format
Descargar

Colecciones

Revista Ingenierías Universidad de Medellín Vol. 23, núm. 44 (2024)