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

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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.

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Notes

  1. http://www.cris.uns.ac.rs/.

  2. http://www.eurocris.org/.

  3. It is important to emphasize that the mobility of Serbian researchers working at public Serbian faculties is at a very low level: almost complete scientific output of currently employed FS-UNS researchers is produced at FS-UNS.

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Acknowledgements

The authors thank the Ministry of Education, Science and Technological Development of the Republic of Serbia for support through Project No. OI174023, “Intelligent techniques and their integration into wide-spectrum decision support”.

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Authors and Affiliations

  1. Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 4, Novi Sad, 21000, Serbia

    Miloš Savić, Mirjana Ivanović & Bojana Dimić Surla

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  1. Miloš Savić
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  2. Mirjana Ivanović
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  3. Bojana Dimić Surla
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Correspondence to Miloš Savić.

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Savić, M., Ivanović, M. & Dimić Surla, B. Analysis of intra-institutional research collaboration: a case of a Serbian faculty of sciences. Scientometrics 110, 195–216 (2017). https://doi.org/10.1007/s11192-016-2167-z

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