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Analysis of intra-institutional research collaboration: a case of a Serbian faculty of sciences

Author

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  • Miloš Savić

    (University of Novi Sad)

  • Mirjana Ivanović

    (University of Novi Sad)

  • Bojana Dimić Surla

    (University of Novi Sad)

Abstract

Current research information systems (CRISs) offer great opportunities for scientometric studies of institutional research outputs. However, many of these opportunities have not been explored in depth, especially for the analysis of intra-institutional research collaboration. In this paper, we propose a hybrid methodology to analyze research collaboration networks with an underlying institutional structure. The co-authorship network extracted from the institutional CRIS of the Faculty of Sciences, University of Novi Sad, Serbia, is analyzed using the proposed methodology. The obtained results show that the organizational structure of the institution has a profound impact on both inter- and intra-institutional research collaboration. Moreover, researchers involved in inter-department collaborations tend to be drastically more productive (by all considered productivity measures), collaborative (measured by the number of co-authorship relations) and institutionally important (in terms of the betweenness centrality in the co-authorship network) compared to those who collaborate only with colleagues from their own research departments. Finally, our results indicate that quantifying research productivity by the normal counting scheme and Serbian research competency index is biased towards researchers from physics and chemistry research departments.

Suggested Citation

  • Miloš Savić & Mirjana Ivanović & Bojana Dimić Surla, 2017. "Analysis of intra-institutional research collaboration: a case of a Serbian faculty of sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 195-216, January.
  • Handle: RePEc:spr:scient:v:110:y:2017:i:1:d:10.1007_s11192-016-2167-z
    DOI: 10.1007/s11192-016-2167-z
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    References listed on IDEAS

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    1. Thed N. Leeuwen & Erik Wijk & Paul F. Wouters, 2016. "Bibliometric analysis of output and impact based on CRIS data: a case study on the registered output of a Dutch university," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 1-16, January.
    2. Perc, Matjaž, 2010. "Growth and structure of Slovenia’s scientific collaboration network," Journal of Informetrics, Elsevier, vol. 4(4), pages 475-482.
    3. Jeremy Birnholtz & Shion Guha & Y. Connie Yuan & Geri Gay & Caren Heller, 2013. "Cross‐campus collaboration: A scientometric and network case study of publication activity across two campuses of a single institution," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 162-172, January.
    4. Bettencourt, Luís M.A. & Kaiser, David I. & Kaur, Jasleen, 2009. "Scientific discovery and topological transitions in collaboration networks," Journal of Informetrics, Elsevier, vol. 3(3), pages 210-221.
    5. Staša Milojević, 2010. "Modes of collaboration in modern science: Beyond power laws and preferential attachment," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1410-1423, July.
    6. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    7. Jeremy Birnholtz & Shion Guha & Y. Connie Yuan & Geri Gay & Caren Heller, 2013. "Cross-campus collaboration: A scientometric and network case study of publication activity across two campuses of a single institution," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 162-172, January.
    8. Alberto Pepe & Marko A. Rodriguez, 2010. "Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 687-701, September.
    9. Dragan Ivanović & Dušan Surla & Miloš Racković, 2011. "A CERIF data model extension for evaluation and quantitative expression of scientific research results," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 155-172, January.
    10. Haiyang Lu & Yuqiang Feng, 2009. "A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 499-511, November.
    11. Domenico De Stefano & Giuseppe Giordano & Maria Vitale, 2011. "Issues in the analysis of co-authorship networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1091-1107, August.
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