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Using Bibliometric Analysis to Measure and Understand the Gender Gap in Published Computing Books: Gender Gap in Computer Science

Using Bibliometric Analysis to Measure and Understand the Gender Gap in Published Computing Books: Gender Gap in Computer Science

Arbana Kadriu, Kosovare Sahatqija, Lejla Abazi-Bexheti
Copyright: © 2021 |Volume: 13 |Issue: 1 |Pages: 14
ISSN: 1941-627X|EISSN: 1941-6288|EISBN13: 9781799860402|DOI: 10.4018/IJESMA.2021010103
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MLA

Kadriu, Arbana, et al. "Using Bibliometric Analysis to Measure and Understand the Gender Gap in Published Computing Books: Gender Gap in Computer Science." IJESMA vol.13, no.1 2021: pp.31-44. http://doi.org/10.4018/IJESMA.2021010103

APA

Kadriu, A., Sahatqija, K., & Abazi-Bexheti, L. (2021). Using Bibliometric Analysis to Measure and Understand the Gender Gap in Published Computing Books: Gender Gap in Computer Science. International Journal of E-Services and Mobile Applications (IJESMA), 13(1), 31-44. http://doi.org/10.4018/IJESMA.2021010103

Chicago

Kadriu, Arbana, Kosovare Sahatqija, and Lejla Abazi-Bexheti. "Using Bibliometric Analysis to Measure and Understand the Gender Gap in Published Computing Books: Gender Gap in Computer Science," International Journal of E-Services and Mobile Applications (IJESMA) 13, no.1: 31-44. http://doi.org/10.4018/IJESMA.2021010103

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Abstract

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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