Some issues on complex networks for author characterization
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| Format: | Artículo científico |
| Sprache: | en |
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Asociación Española para la Inteligencia Artificial
2007
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| _version_ | 1876453539296837632 |
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| author | Lucas Antiqueira |
| author_facet | Lucas Antiqueira |
| contents | Some issues on complex networks for author characterization Lucas Antiqueira Thiago Alexandre Salgueiro Pardo Maria das Graças Volpe Nunes Osvaldo N. Oliveira Jr. Ingeniería Complex Networks Authorship Attribution This paper presents a modeling technique of texts as complex networks and the investigation of the correlationbetween the properties of such networks and author characteristics. In an experiment with several booksfrom eight authors, we show that the networks produced for each author tend to have specific features,which indicates that complex networks can capture author characteristics and, therefore, could be used forthe traditional task of authorship identification 2007 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92503608 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.36 Vol.11 |
| format | Artículo científico |
| id | redalyc_92503608 |
| institution | Redalyc |
| language | en |
| publishDate | 2007 |
| publisher | Asociación Española para la Inteligencia Artificial |
| spellingShingle | Some issues on complex networks for author characterization Lucas Antiqueira Ingeniería Complex Networks Authorship Attribution Some issues on complex networks for author characterization Lucas Antiqueira Thiago Alexandre Salgueiro Pardo Maria das Graças Volpe Nunes Osvaldo N. Oliveira Jr. Ingeniería Complex Networks Authorship Attribution This paper presents a modeling technique of texts as complex networks and the investigation of the correlationbetween the properties of such networks and author characteristics. In an experiment with several booksfrom eight authors, we show that the networks produced for each author tend to have specific features,which indicates that complex networks can capture author characteristics and, therefore, could be used forthe traditional task of authorship identification 2007 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92503608 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.36 Vol.11 |
| title | Some issues on complex networks for author characterization |
| topic | Ingeniería Complex Networks Authorship Attribution |
| url | https://www.redalyc.org/articulo.oa?id=92503608 |