Abstract. This paper presents a modeling technique of texts as complex networks and the investigation of the correlation between the properties of such networks and author characteristics. In an experiment with several books from 8 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 for the traditional task of authorship identification.
In REF authors investigate the correlation between the properties of networks and author characteristics.
Some issues on complex networks for author characterization
Inteligencia Artif.
Inteligencia Artif.
Computer Science