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Collaboration between authors in the field of social network analysis

Author

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  • Daria Maltseva

    (National Research University Higher School of Economics)

  • Vladimir Batagelj

    (National Research University Higher School of Economics
    Institute of Mathematics, Physics and Mechanics
    University of Primorska, Andrej Marušič Institute)

Abstract

This paper presents a study of authors writing articles in the field of SNA and groups them by means of bibliographic network analysis. The dataset consists of works from the Web of Science database obtained by searching for “social network*”, works highly cited in the field, works published in the flagship SNA journals, and written by the most prolific authors (70,000+ publications and 93,000+ authors), up to and including 2018. Using a two-mode network linking publications with authors, we constructed and analysed different types of collaboration networks among authors. We used the temporal quantities approach to trace the development of these networks through time. The results show that most articles are written by 2 or 3 authors. The number of single authored papers has dropped significantly since the 1980s—from 70% to about 10%. The analysis of three types of co-authorship networks allowed us to extract the groups of authors with the largest number of co-authored works and the highest collaborative input, and to calculate the indices of collaborativeness. We looked at the temporal properties of the most popular nodes. We faced the problem of “multiple personalities” of mostly Chinese and Korean authors, which could be overcome with the adoption of standardized author IDs by publishers and bibliographic databases.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:6:d:10.1007_s11192-022-04364-z
    DOI: 10.1007/s11192-022-04364-z
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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.
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    3. 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.
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    Cited by:

    1. 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.

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