Red de Bibliotecas Virtuales de Ciencias Sociales en
América Latina y el Caribe
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https://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/186755Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.creator | Gálvez, Carmen | - |
| dc.date | 2018-12-20 | - |
| dc.date.accessioned | 2023-03-16T15:12:01Z | - |
| dc.date.available | 2023-03-16T15:12:01Z | - |
| dc.identifier | https://revistas.ucm.es/index.php/RGID/article/view/62834 | - |
| dc.identifier | 10.5209/RGID.62834 | - |
| dc.identifier.uri | https://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/186755 | - |
| dc.description | The objective of this work was to explore and visualize the intellectual and cognitive structure of Social Network Analysis (SNA) research, within the scientific area of Library and Information Sciences (LIS). The applied methodology combined co-citation and co-words analysis. The data was obtained from the scientific publications indexed in the Web of Science (WoS) database. We identified a total of 383 publications, related to SNA in LIS, during the period 2008- 2017. The analysis of co-citation of sources evidenced the high level of transversality and the marked interdisciplinary nature of SNA, the most relevant journals were Scientometrics and Journal of the American Society for Information Science and Technology. The co-citation analysis of documents identified the theoretical basis and founding documents of the SNA, highlighting the works of Wasserman and Faust (1994), Freeman (1979), Watts and Strogatz (1998), Otte and Rousseau (2002). The co-citation analysis of authors revealed the different schools and academic networks, standing out authors such as S.P. Borgatti, R.S. Burt, M. E. J. Newman, S. Wasserman, K. Faust, L.C. Freeman, M. Callon and L. Leydesdorff. On the other hand, the co-words analysis showed the main research fronts: i) evaluation of the impact of the scientific activity; ii) application of network analysis to Social Media; iii) scientific collaboration networks, co-authorship networks and co-words networks; and iv) knowledge networks. | en-US |
| dc.description | El objetivo de este trabajo fue identificar y visualizar la estructura intelectual y cognitiva del campo de investigación del Análisis de Redes Sociales (ARS), en el área de las Ciencias de la Documentación. La metodología aplicada combinó análisis de co-citación y co-palabras. Los datos se obtuvieron de las publicaciones científicas indexadas en la base de datos Web of Science (WoS). Se identificaron un total de 383 publicaciones, relacionadas con el ARS en el dominio que nos ocupa, en el periodo 2008-2017. El análisis de co-citación de fuentes evidenció el alto nivel de transversalidad del ARS, las revistas más relevantes fueron Scientometrics y Journal of the American Society for Information Science and Technology. El análisis de co-citación de documentos identificó las aportaciones fundacionales del ARS, destacando los trabajos de Wasserman y Faust (1994), Freeman (1979), Watts y Strogatz (1998), Otte y Rousseau (2002). El análisis de co-citación de autores reveló las diferentes escuelas académicas del ARS, sobresaliendo autores como S.P. Borgatti, R.S. Burt, M. E. J. Newman, S. Wasserman, K. Faust, L.C. Freeman, M. Callon y L. Leydesdorff. Por su parte, el análisis de co-palabras mostró los principales frentes de investigación: i) evaluación del impacto de la actividad científica; ii) aplicación del análisis de redes a los nuevos modelos de comunicación social; iii) redes de colaboración científica, redes co-autoría y redes de co-palabras; y iv) redes sociales de conocimiento. | es-ES |
| dc.format | application/pdf | - |
| dc.language | spa | - |
| dc.publisher | Ediciones Complutense | es-ES |
| dc.relation | https://revistas.ucm.es/index.php/RGID/article/view/62834/4564456549059 | - |
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| dc.source | Revista General de Información y Documentación; Vol. 28 No. 2 (2018); 455-475 | en-US |
| dc.source | Revista General de Información y Documentación; Vol. 28 Núm. 2 (2018); 455-475 | es-ES |
| dc.source | 1988-2858 | - |
| dc.source | 1132-1873 | - |
| dc.subject | Social Network Analysis | en-US |
| dc.subject | Library and Information Sciences | en-US |
| dc.subject | Co-citation analysis | en-US |
| dc.subject | Coword analysis | en-US |
| dc.subject | Knowledge domain visualization methods. | en-US |
| dc.subject | Análisis de Redes Sociales | es-ES |
| dc.subject | Ciencias de la Documentación | es-ES |
| dc.subject | Análisis de co-citación | es-ES |
| dc.subject | Análisis de co-palabras | es-ES |
| dc.subject | Visualización de dominios de conocimiento. | es-ES |
| dc.title | Social Network Analysis research in Library and Information Sciences: a cocitation and co-words analysis | en-US |
| dc.title | El campo de investigación del Análisis de Redes Sociales en el área de las Ciencias de la Documentación: un análisis de co-citación y co-palabras | es-ES |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/publishedVersion | - |
| dc.type | Artículo revisado por pares | es-ES |
| Aparece en las colecciones: | Servicio Documentación Multimedia. Sección Departamental de Biblioteconomía y Documentación. Universidad Complutense de Madrid - SDM - Cosecha | |
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