Qualitative social network analysis: studying the field through the bibliographic approach

Aryuna Kim () and Daria Maltseva ()
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Aryuna Kim: HSE University
Daria Maltseva: HSE University

Quality & Quantity: International Journal of Methodology, 2024, vol. 58, issue 1, No 20, 385-411

Abstract: Abstract This paper presents the results of a study on the development of qualitative social network analysis (QSNA) and its evolution over time, using the analysis of bibliographic networks. The dataset consists of articles from the Web of Science Clarivate Analytics database obtained by searching for the keyword“Social network* + (Qualitative OR Mixed method*)”(in total 21,823 publications). From the data, we constructed a citation network, which was followed by an evaluation of QSNA field’s growth and the identification of the most cited works. Using the normalized Search path count weights, we extracted the Main path and Key-routes in the citation network. Starting from 1988, when the first works appeared, the field has grown significantly. The analysis of the citation network shows that there are two main scientific spheres where QSNA was developed—in the social science and the medical science. In the social science the main empirical research subjects are migrant networks and teacher’s networks. In the medical science the research object moved from sexual contacts to social contacts in infection studies.

Keywords: Development of scientific fields; Qualitative social network analysis; Citation network; Search path count; Web of science (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11135-023-01651-6

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