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

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  • Aryuna Kim

    (HSE University)

  • Daria Maltseva

    (HSE University)

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.

Suggested Citation

  • Aryuna Kim & Daria Maltseva, 2024. "Qualitative social network analysis: studying the field through the bibliographic approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 385-411, February.
    • Handle: RePEc:spr:qualqt:v:58:y:2024:i:1:d:10.1007_s11135-023-01651-6
    DOI: 10.1007/s11135-023-01651-6
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    References listed on IDEAS

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    1. Naoki Shibata & Yuya Kajikawa & Katsumori Matsushima, 2007. "Topological analysis of citation networks to discover the future core articles," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(6), pages 872-882, April.
    2. Daria Maltseva & Vladimir Batagelj, 2019. "Social network analysis as a field of invasions: bibliographic approach to study SNA development," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1085-1128, November.
    3. Jan Fuhse & Sophie Mützel, 2011. "Tackling connections, structure, and meaning in networks: quantitative and qualitative methods in sociological network research," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1067-1089, August.
    4. Daria Maltseva & Vladimir Batagelj, 2021. "Journals publishing social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3593-3620, April.
    5. Daria Maltseva & Vladimir Batagelj, 2022. "Collaboration between authors in the field of social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3437-3470, June.
    6. Naoki Shibata & Yuya Kajikawa & Yoshiyuki Takeda & Katsumori Matsushima, 2009. "Comparative study on methods of detecting research fronts using different types of citation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(3), pages 571-580, March.
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