Abstract
The practice of historical research in recent years has been substantially affected by the emergence of the so-called digital humanities. New computer tools have been appearing, software systems capable of processing vast quantities of information in ways that until recently were inconceivable. Text mining and social network analysis techniques are sophisticated instruments that can help render a more enriching reading of the available data and draw useful conclusions. We reflect on this in the first part of this article, and then apply these tools to a practical case: quantifying and identifying the women who appear in university-related articles in the newspaper El País from its founding until 2011.
Reference31 articles.
1. Alonso, José Luis; Figuerola, Carlos and Medrano, José F. (2011) "Visualización de grafos Web". In Avances en Informática y Automática. Quinto Workshop. Salamanca. Dpto. de Informática y Automática: 167-190.
2. Batagelj, Vladimir and Kej?ar, Nata?a (2014) Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution. New York. Wiley, October.
3. "The digitization of newspaper archives: Opportunities and challenges for historians";Bingham;Twentieth Century British History vol 21 February,2010
4. Blondel, Vincent; Guillaume, Jean-Loup; Lambiotte, Renaud and Lefebvre, Etienne (2008) "Fast unfolding of communities in large networks". Journal of Statistical Mechanics: Theory and Experiment, vol. 10, available at: http://arxiv.org/abs/0803.0476 [consulted February 18, 2015].
5. Borgatti, Stephen; Everett, Martin and Johnson, Jeffrey (2013) Analyzing Social Networks. London. Sage Publications.