Using Bibliometric Analysis to Measure and Understand the Gender Gap in Published Computing Books
| Autor: | Arbana Kadriu, Kosovare Sahatqija, Lejla Abazi-Bexheti |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Marketing
Measure (data warehouse) Social network Computer Networks and Communications business.industry Strategy and Management 05 social sciences Keyword extraction 02 engineering and technology Data science Computer Science Applications Management Information Systems Ranking 020204 information systems 0502 economics and business 0202 electrical engineering electronic engineering information engineering Bibliography 050211 marketing Gender gap business GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) Social network analysis Publication |
| Zdroj: | International Journal of E-Services and Mobile Applications. 13:31-44 |
| ISSN: | 1941-6288 1941-627X |
| DOI: | 10.4018/ijesma.2021010103 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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