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Knowledge Production: Analysing Gender- and Country-Dependent Factors in Research Topics through Term Communities

Bakshi-Hamm, Parminder und Hamm, Andreas (2022) Knowledge Production: Analysing Gender- and Country-Dependent Factors in Research Topics through Term Communities. Publications, 10 (4). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/publications10040045. ISSN 2304-6775.

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Offizielle URL: https://www.mdpi.com/2304-6775/10/4/45

Kurzfassung

Scholarly publications are among the most tangible forms of knowledge production. Therefore, it is important to analyse them, amongst other features, for gender or country differences and the incumbent inequalities. While there are many quantitative studies of publication activities and success in terms of publication numbers and citation counts, a more content-related understanding of differences in the choice of research topics is rare. The present paper suggests an innovative method of using term communities in co-occurrence networks for detecting and evaluating the gender- and country-specific distribution of topics in research publications. The method is demonstrated with a pilot study based on approximately a quarter million of publication abstracts in seven diverse research areas. In this example, the method validly reconstructs all obvious topic preferences, for instance, country-dependent language-related preferences. It also produces new insight into country-specific research focuses. It emerges that in all seven subject areas studied, topic preferences are significantly different depending on whether all authors are women, all authors are men, or there are female and male co-authors, with a tendency of male authors towards theoretical core topics, of female authors towards peripheral applied topics, and of mixed-author teams towards modern interdisciplinary topics.

elib-URL des Eintrags:https://elib.dlr.de/190967/
Dokumentart:Zeitschriftenbeitrag
Titel:Knowledge Production: Analysing Gender- and Country-Dependent Factors in Research Topics through Term Communities
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Bakshi-Hamm, Parminderiba-University of Cooperative EducationNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Hamm, AndreasAndreas.Hamm (at) dlr.dehttps://orcid.org/0000-0001-5854-851XNICHT SPEZIFIZIERT
Datum:23 November 2022
Erschienen in:Publications
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:10
DOI:10.3390/publications10040045
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2304-6775
Status:veröffentlicht
Stichwörter:text mining; natural language processing; topic detection; publication analysis; gender differences; country differences
HGF - Forschungsbereich:keine Zuordnung
HGF - Programm:keine Zuordnung
HGF - Programmthema:keine Zuordnung
DLR - Schwerpunkt:Digitalisierung
DLR - Forschungsgebiet:D - keine Zuordnung
DLR - Teilgebiet (Projekt, Vorhaben):D - MeToDiO
Standort: Köln-Porz
Institute & Einrichtungen:Institut für Softwaretechnologie
Hinterlegt von: Hamm, Dr. Andreas
Hinterlegt am:06 Dez 2022 10:41
Letzte Änderung:06 Dez 2022 10:41

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