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Journals publishing social network analysis

Author

Listed:
  • 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)

Abstract

This paper presents the analysis of journals publishing articles on social network analysis (SNA). The dataset consists of articles from the Web of Science database obtained by searching for “social network*”, works intensively cited, written by the most prominent authors, and published in the main SNA journals up to July 2018. There were 8943 journals in 70,792 articles with complete descriptions. Using a two-mode network linking publications with journals and a one-mode network of citations between articles, we constructed and analysed the networks of citations and bibliographic coupling among journals. Based on the analysis of these networks, we identify the most prominent journals publishing SNA and reveal their relationships to each other. Special attention is given to the position of journal Social Networks among other journals in the field. We trace the development of some relationships through time and look at their distributions for selected journals. The results show that the field is growing, which can be seen by the annual rise of the number of journals publishing papers in SNA, and the average number of papers on SNA per journal (almost 3 in recent years). The journals which are currently present in the field belong to social and natural sciences. The social sciences group is represented mainly by journals from sociology and management. Other journals mainly come from the fields of physics, computer science, or are general scientific journals. While journals from social and computer sciences are connected with journals from the same fields, physics journals Physica A and Physical Review E have developed their own niche. SNA’s main outlet Social Networks takes a very coherent and important position. It had explicit primacy up to the 2000s; in recent years its relative input has declined significantly due to the large number of papers published in other journals in the field.

Suggested Citation

  • Daria Maltseva & Vladimir Batagelj, 2021. "Journals publishing social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3593-3620, April.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:4:d:10.1007_s11192-021-03889-z
    DOI: 10.1007/s11192-021-03889-z
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    References listed on IDEAS

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    1. Marianne Gauffriau & Peder Olesen Larsen & Isabelle Maye & Anne Roulin-Perriard & Markus Ins, 2007. "Publication, cooperation and productivity measures in scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(2), pages 175-214, November.
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    6. Vladimir Batagelj & Monika Cerinšek, 2013. "On bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 845-864, September.
    7. Batagelj, Vladimir & Maltseva, Daria, 2020. "Temporal bibliographic networks," Journal of Informetrics, Elsevier, vol. 14(1).
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    9. 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.
    10. Staša Milojević & Loet Leydesdorff, 2013. "Information metrics (iMetrics): a research specialty with a socio-cognitive identity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 141-157, April.
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    Cited by:

    1. Marcelo Oliveira Passos & Priscila Lujan Gonzalez & Mathias Schneid Tessmann & Daniel Abreu Pereira Uhr, 2022. "The greatest co-authorships of finance theory literature (1896–2006): scientometrics based on complex networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5841-5862, October.
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    3. 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.

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