Text mining and social network analysis on computer science and engineering theses in Turkey

Author(s):  
Volkan Tunalı ◽  
Turgay Tugay Bilgin
2019 ◽  
Vol 8 (1) ◽  
pp. 009
Author(s):  
Carlos G. Figuerola ◽  
Tamar Groves ◽  
Francisco J. Rodríguez

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.


Author(s):  
Matías Borba Eguren

El presente trabajo analiza la participación de Carlos Pastore – intelectual y político paraguayo, exiliado en Montevideo en 1942 – en los homenajes a Artigas, realizados por el Instituto Histórico y Geográfico del Uruguay en 1950. Se busca establecer su papel como articulador entre el Instituto y otros paraguayos – en su mayoría exiliados –, aplicando técnicas del social network analysis y de text mining, para graficar la red político-historiográfica a su alrededor. Se pretende señalar cómo los homenajes a Artigas fueron una oportunidad para los exiliados paraguayos de utilizar el pasado como herramienta de militancia contra la situación política de Paraguay.


2021 ◽  
Vol 13 (1) ◽  
pp. 31-44
Author(s):  
Arbana Kadriu ◽  
Kosovare Sahatqija ◽  
Lejla Abazi-Bexheti

The purpose of the research presented in this paper is the investigation of the gender gap in published computing books. The book titles from the DBLP computer science bibliography were the basis for this investigation. The conducted research involves co-authorship network exploration using social network analysis methods, as well as content learning by keyword extraction and ranking from book titles. The findings show that female authors tend to publish fewer books in computing than their male colleagues, and there is a huge gap of women regarding the collaboration. There are just two women names within the 50 author names with the highest social network top metrics, indicating collaboration. Regarding the extracted keywords, though there are differences, results do not show some huge divergences when it comes to the used language for computing titles.


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