Análisis de co-enlaces: una aproximación teórica
[EN] This work provides a theoretical and practical walk-through of Co-link Analysis, one of the classic techniques for information visualisation that serves as a tool for constructing Maps of Science in Webometrics. An analysis is offered of the steps to be followed, the most suitable data resource...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2006 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/4543 |
| Acceso en línea: | http://hdl.handle.net/10261/4543 |
| Access Level: | acceso abierto |
| Palabra clave: | Webometrics Co–link analysis Information visualisation Maps of science Mapas de la ciencia Multidimensional scaling Search engines Cibermetría Análisis de co-enlaces Visualización de información Escalamiento multidimensional Buscadores Information sciences |
| Sumario: | [EN] This work provides a theoretical and practical walk-through of Co-link Analysis, one of the classic techniques for information visualisation that serves as a tool for constructing Maps of Science in Webometrics. An analysis is offered of the steps to be followed, the most suitable data resources, the different kinds of matrices, and how these have to be processed. The results permit distinguishing between the different steps taken and the differences in processing these matrices. The study finds that asymmetrical matrices provide more information than symmetrical ones, that there is greater discrimination with the cosine than with the correlation, and that crawlers obtain more accurate information than search engines. |
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