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Formation of Collaboration Networks Among Russian Sociologists (2010–2021)

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  • Daria Maltseva

    (HSE University)

  • Aryuna Kim

    (HSE University)

  • Anna Semenova

    (HSE University)

Abstract

Due to the non-linear nature of the development of the sociological discipline in the Soviet time, and the existing inequality between central cities and regions in modern Russia, the community of Russian sociologists is characterized by a low level of integration at the local level and selective representation in the international scientific community. The research is aimed at studying the structure and patterns of collaboration in the scientific community of Russian sociologists in 2010–2021 by means of bibliometric network analysis. We analyze all scientific articles published by Russian authors in scientific journals indexed the electronic library eLibrary in the subject area of sociology in the observed time period (75,232 articles). We present the methodology for processing bibliographic data in Russian language for studying collaboration networks of Russian scientists. Exponential Random Graph Modeling (ERGM) is used to test hypotheses in a collaborative network. This study identifies the primary trends and general structure of collaboration within the Russian sociological scientific community. It determines the most productive authors and identifies patterns that shape the structure of the collaboration network.

Suggested Citation

  • Daria Maltseva & Aryuna Kim & Anna Semenova, 2025. "Formation of Collaboration Networks Among Russian Sociologists (2010–2021)," SN Operations Research Forum, Springer, vol. 6(3), pages 1-28, September.
  • Handle: RePEc:spr:snopef:v:6:y:2025:i:3:d:10.1007_s43069-025-00446-9
    DOI: 10.1007/s43069-025-00446-9
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    1. Vladimir Batagelj & Matjaž Zaveršnik, 2011. "Fast algorithms for determining (generalized) core groups in social networks," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 5(2), pages 129-145, July.
    2. Luka Kronegger & Franc Mali & Anuška Ferligoj & Patrick Doreian, 2015. "Classifying scientific disciplines in Slovenia: A study of the evolution of collaboration structures," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(2), pages 321-339, February.
    3. Marjan Cugmas & Anuška Ferligoj & Luka Kronegger, 2016. "The stability of co-authorship structures," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 163-186, January.
    4. Luka Kronegger & Anuška Ferligoj & Patrick Doreian, 2011. "On the dynamics of national scientific systems," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 989-1015, August.
    5. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    6. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    7. Handcock, Mark S. & Hunter, David R. & Butts, Carter T. & Goodreau, Steven M. & Morris, Martina, 2008. "statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i01).
    8. Haiyan Hou & Hildrun Kretschmer & Zeyuan Liu, 2008. "The structure of scientific collaboration networks in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 189-202, May.
    9. 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.
    10. Patrick Doreian & Anuška Ferligoj & Luka Kronegger, 2011. "On the dynamics of national scientific systems: a reply," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1025-1029, August.
    11. Vladimir Batagelj & Monika Cerinšek, 2013. "On bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 845-864, September.
    12. Liang Dai & Ben Derudder & Zhan Cao & Yufan Ji, 2023. "Examining the evolving structures of intercity knowledge networks: the case of scientific collaboration in China," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 27(3), pages 371-389, July.
    13. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    14. Stanley Wasserman & Philippa Pattison, 1996. "Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 401-425, September.
    15. Anuška Ferligoj & Luka Kronegger & Franc Mali & Tom A. B. Snijders & Patrick Doreian, 2015. "Scientific collaboration dynamics in a national scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 985-1012, September.
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