Research ArticleJournal of Scientometric ResearchVol. 11 | Issue 1 | 2022 | pp. 125–129Open access
COVID-19 Across Social Sciences Literature: A Co-Word Study
- 1*,
- 2
- 1 Department of Medical Library and Information Science, School of Allied Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, IRAN.
- 2 Department of Knowledge and Information Science, School of Educational Science and Psychology, Shiraz University, Shiraz, IRAN.
Published in Journal of Scientometric Research
Correspondence: Fatima Baji
Department of Medical Library and Information Science, School of Allied Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, IRAN.
Email: baji245@gmail.com
Copyright: © 2022 Manuscript Technomedia. This is an open access article.
- Published:
- May 1, 2022
- Received:
- Sep 11, 2021
- Accepted:
- May 3, 2022
How to cite
Baji, F., & Jowkar, T. (2022). COVID-19 Across Social Sciences Literature: A Co-Word Study. Journal of Scientometric Research, 11(1), 125–129. https://doi.org/10.5530/jscires.11.1.13
Abstract
Besides the concerns about medical, health, and mental health issues as the essential parts of research on COVID-19, social sciences, and humanities research also have been affected by the situation. In this sense, the primary purpose of the current study was to map the conceptual structure of COVID-19 literature in the social sciences area. About 2587 documents related to “COVID-19” in the social sciences which indexed in the Scopus database during 2020 were considered as the research data. Based on the cohesion measure, the co-word network of COVID-19 literature in the social sciences area was cohesive. The main themes raised in the research clusters were: Environmental issues, social quality service, crisis management, social support, and COVID-19 social effects. Research results revealed that emerging thematic clusters contain topics such as climate change, environment, vulnerable populations, culture, and quality of life, fake new, and social identity. In addition, the present study also predicted that at the end of the COVID-19 pandemic, its social effects on societies could be consistent; thus, it is recommended that research on COVID-19 effects in the area of social sciences in universities and research institutions should be reconsidered.
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Article metadata
| Title | COVID-19 Across Social Sciences Literature: A Co-Word Study |
|---|---|
| Authors | Fatima Baji; Tahereh Jowkar |
| Affiliations | Department of Medical Library and Information Science, School of Allied Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, IRAN.; Department of Knowledge and Information Science, School of Educational Science and Psychology, Shiraz University, Shiraz, IRAN. |
| Corresponding author | baji245@gmail.com |
| Journal | Journal of Scientometric Research |
| Volume / Issue | Vol. 11, Issue 1 (2022) |
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- A Scientometric Analysis of Multiobjective Optimization Researchpp. 15–29
- A Quantitative Literature Analysis of the Research on Holy Basil (Tulsi)pp. 30–36
- Stress and Machine Learning-Future with Possibilities: A Bibliometric Approachpp. 37–46
- Evaluation of the Dynamics of Large Scale COVID-19 Related Literature through Bibliometric Analysis from a Mathematical Standpointpp. 47–54
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