Skip to main content
Log in

Analysis of Slovenian research community through bibliographic networks

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

Science is a societal process, designed on widely accepted general rules which facilitate its development. Productive researchers are viewed from the perspective of a social network of their interpersonal relations. In this paper we address performance of Slovenian research community using bibliographic networks between the years 1970 and 2015 from various aspects which determine prolific science. We focus on basic determinants of research performance including productivity, collaboration, internationality, and interdisciplinarity. For each of the determinants, we select a set of statistics and network measures to investigate the state of each in every year of the analyzed period. The analysis is based on high quality data from manually curated information systems. We interpret the results by relating them to important historical events impacting Slovenia and to domestic expenditure for research and development. Our results clearly demonstrate causal relations between the performance of research community and changes in wider society. Political and financial stability together with concise measuring of scientific productivity established soon after Slovenia won independence from Yugoslavia in 1991 had positive influence on all determinants. They were further leveraged by foundation of Slovenian research agency and joining EU and NATO. Publish and perish phenomenon, negative impacts of financial crisis in 2008–2014 and reshaping the domestic expenditure for research and development after 2008 have also clear response in scientific community. In the paper, we also study the researcher’s career productivity cycles and present the analysis of the career productivity for all registered researchers in Slovenia.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

(Source: Statistical Office of the Republic of Slovenia, 2016). (Color figure online)

Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

Notes

  1. http://www.cobiss.si/cobiss_eng.html.

  2. http://www.sicris.si/public/jqm/cris.aspx?lang=eng&opdescr=home&opt=1.

  3. http://www.izum.si/default-EN.htm.

  4. http://www.arrs.gov.si/en/index.asp.

  5. We say that a publication is scientific if it is classified as an original scientific article, a review article, a short scientific article, a published scientific conference contribution, a published scientific conference contribution abstract, an independent scientific component or a chapter in a monograph, or a scientific monograph.

  6. http://pxweb.stat.si/pxweb/database/Ekonomsko/23_raziskovanje_razvoj/04_Kariera_dokt/04_Kariera_dokt.asp.

  7. https://www.arrs.gov.si/sl/mr/obseg.asp?menu=3SCC.

  8. http://www.stat.si/StatWeb/en/show-news?id=5656&idp=17&headerbar=13.

  9. http://www-personal.umich.edu/~mejn.

  10. http://www.arrs.gov.si/en/agencija/inc/ssd-new.pdf.

  11. http://www.arhiv.mvzt.gov.si/fileadmin/mvzt.gov.si/pageuploads/pdf/odnosi_z_javnostmi/01.06.2011_dalje/01.06._RISSdz_ENG.pdf.

References

  • Abbasi, A., Chung, K. S. K., & Hossain, L. (2012). Egocentric analysis of co-authorship network structure, position and performance. Information Processing & Management, 48(4), 671–679.

    Article  Google Scholar 

  • Ball, P. (2012). Why society is a complex matter: Meeting twenty-first century challenges with a new kind of science. Berlin: Springer.

    Book  Google Scholar 

  • Boardman, P. C., & Corley, E. A. (2008). University research centers and the composition of research collaborations. Research Policy, 37(5), 900–913.

    Article  Google Scholar 

  • Bozeman, B., & Corley, E. (2004). Scientists’ collaboration strategies: Implications for scientific and technical human capital. Research Policy, 33(4), 599–616.

    Article  Google Scholar 

  • Çavuşoğlu, A., & Türker, I. (2013). Scientific collaboration network of Turkey. Chaos, Solitons & Fractals, 57, 9–18.

    Article  Google Scholar 

  • Ferligoj, A., Kronegger, L., Mali, F., Snijders, T. A. B., & Doreian, P. (2015). Scientific collaboration dynamics in a national scientific system. Scientometrics, 104(3), 985–1012.

    Article  Google Scholar 

  • Fox, M. F., & Mohapatra, S. (2007). Social-organizational characteristics of work and publication productivity among academic scientists in doctoral-granting departments. The Journal of Higher Education, 78(5), 542–571.

    Article  Google Scholar 

  • Glänzel, W. (2001). National characteristics in international scientific co-authorship relations. Scientometrics, 51(1), 69–115.

    Article  Google Scholar 

  • Glänzel, W., & Schubert, A. (2005). Domesticity and internationality in co-authorship, references and citations. Scientometrics, 65(3), 323–342.

    Article  Google Scholar 

  • Han, P., Shi, J., Li, X., Wang, D., Shen, S., & Su, X. (2014). International collaboration in LIS: Global trends and networks at the country and institution level. Scientometrics, 98(1), 53–72.

    Article  Google Scholar 

  • He, Z. L., Geng, X. S., & Campbell-Hunt, C. (2009). Research collaboration and research output: A longitudinal study of 65 biomedical scientists in a New Zealand university. Research Policy, 38(2), 306–317.

    Article  Google Scholar 

  • Karlovčec, M., & Mladenić, D. (2015). Interdisciplinarity of scientific fields and its evolution based on graph of project collaboration and co-authoring. Scientometrics, 102(1), 433–454.

    Article  Google Scholar 

  • Karlovčec, M., Lužar, B., & Mladenić, D. (2016). Core-periphery dynamics in collaboration networks: The case study of Slovenia. Scientometrics, 109(3), 1561–1578. doi:10.1007/s11192-016-2154-4.

    Article  Google Scholar 

  • Katz, J. (1994). Geographical proximity and scientific collaboration. Scientometrics, 31(1), 31–43.

    Article  Google Scholar 

  • Katz, J. S., & Martin, B. R. (1997). What is research collaboration? Research Policy, 26(1), 1–18.

    Article  Google Scholar 

  • Kim, J., Tao, L., Lee, S. H., & Diesner, J. (2016). Evolution and structure of scientific co-publishing network in Korea between 1948–2011. Scientometrics, 107(1), 27–41.

    Article  Google Scholar 

  • Kronegger, L., Mali, F., Ferligoj, A., & Doreian, P. (2011). Collaboration structures in Slovenian scientific communities. Scientometrics, 90(2), 631–647.

    Article  Google Scholar 

  • Leahey, E., Beckman, C., & Stanko, T. (2016). Prominent but less productive: The impact of interdisciplinarity on scientists’ research. Published Online in Administrative Science Quarterly,. doi:10.1177/0001839216665364.

    Google Scholar 

  • Lee, S., & Bozeman, B. (2005). The impact of research collaboration on scientific productivity. Social Studies of Science, 35(5), 673–702.

    Article  Google Scholar 

  • Leydesdorff, L., Wagner, C., Park, H. W., & Adams, J. (2013). International collaboration in science: The global map and the network. El profesional de la información, 22(1), 87–94.

    Article  Google Scholar 

  • Lindsey, D. (1980). Production and citation measures in the sociology of science: The problem of multiple authorship. Social Studies of Science, 10(2), 145–162.

    Article  Google Scholar 

  • Liu, P., & Xia, H. (2015). Structure and evolution of co-authorship network in an interdisciplinary research field. Scientometrics, 103(1), 101–134.

    Article  MathSciNet  Google Scholar 

  • Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of Washington Academy of Science, 16, 181–218.

    Google Scholar 

  • Lužar, B., Levnajić, Z., Povh, J., & Perc, M. (2014). Community structure and the evolution of interdisciplinarity in Slovenia’s scientific collaboration network. PLoS ONE, 9(4), e94429.

    Article  Google Scholar 

  • Melin, G. (2000). Pragmatism and self-organization: Research collaboration on the individual level. Research Policy, 29(1), 31–40.

    Article  Google Scholar 

  • Mena-Chalco, J. P., Digiampietri, L. A., Lopes, F. M., & Cesar, R. M. (2014). Brazilian bibliometric coauthorship networks. Journal of the Association for Information Science and Technology, 65(7), 1424–1445.

    Article  Google Scholar 

  • Narin, F., Stevens, K., & Whitlow, E. (1991). Scientific co-operation in Europe and the citation of multinationally authored papers. Scientometrics, 21(3), 313–323.

    Article  Google Scholar 

  • Newman, M. E. (2004). Who is the best connected scientist? A study of scientific coauthorship networks. In E. Ben-Naim, H. Frauenfelder, & Z. Toroczkai (Eds.), Complex Networks (pp. 337–370). Berlin: Springer.

    Chapter  Google Scholar 

  • Novak, P., & Demšar, F. (2012). The history of funding research & development in Slovenia. Quark, 18(1), 49–55.

  • Perc, M. (2010a). Growth and structure of Slovenia’s scientific collaboration network. Journal of Informetrics, 4(4), 475–482.

    Article  MathSciNet  Google Scholar 

  • Perc, M. (2010b). Zipf’s law and log-normal distributions in measures of scientific output across fields and institutions: 40 years of Slovenia’s research as an example. Journal of Informetrics, 4(3), 358–364.

    Article  Google Scholar 

  • Porter, A., & Rafols, I. (2009). Is science becoming more interdisciplinary? Measuring and mapping six research fields over time. Scientometrics, 81(3), 719–745.

    Article  Google Scholar 

  • Pravdić, N., & Oluić-Vuković, V. (1986). Dual approach to multiple authorship in the study of collaboration/scientific output relationship. Scientometrics, 10(5–6), 259–280.

    Article  Google Scholar 

  • Rodela, R. (2016). On the use of databases about research performance: Comments on Karlovčec and Mladenić (2015) and others using the SICRIS database. Scientometrics, 109(3), 2151–2157. doi:10.1007/s11192-016-2073-4.

    Article  Google Scholar 

  • Shneiderman, B. (2008). Copernican challenges face those who suggest that collaboration, not computation are the driving energy for socio-technical systems that characterize web 2.0. Science, 319(5868), 1349–1350.

    Article  Google Scholar 

  • Uzzi, B., Mukherjee, S., Stringer, M., & Jones, B. (2013). Atypical combinations and scientific impact. Science, 342(6157), 468–472.

    Article  Google Scholar 

  • Van Rijnsoever, F. J., & Hessels, L. K. (2011). Factors associated with disciplinary and interdisciplinary research collaboration. Research Policy, 40(3), 463–472.

    Article  Google Scholar 

  • Wagner, C. S. (2002). The elusive partnership: science and foreign policy. Science and Public Policy, 29(6), 409–417.

    Article  Google Scholar 

  • Waltman, L., Tijssen, R. J., & van Eck, N. J. (2011). Globalisation of science in kilometres. Journal of Informetrics, 5(4), 574–582.

    Article  Google Scholar 

  • Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ’small-world’ networks. Nature, 393(6684), 440–442.

    Article  Google Scholar 

  • Wuchty, S., Jones, B. F., & Uzzi, B. (2007). The increasing dominance of teams in production of knowledge. Science, 316(5827), 1036–1039.

    Article  Google Scholar 

  • Yarkoni, T. (2012). Psychoinformatics new horizons at the interface of the psychological and computing sciences. Current Directions in Psychological Science, 21(6), 391–397.

    Article  Google Scholar 

  • Yoshikane, F., & Kageura, K. (2004). Comparative analysis of coauthorship networks of different domains: The growth and change of networks. Scientometrics, 60(3), 435–446.

    Article  Google Scholar 

  • Zuckerman, H. (1967). Nobel laureates in science: Patterns of productivity, collaboration, and authorship. American Sociological Review, 32(3), 391–403.

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank two anonymous referees for their remarks which helped to improve the manuscript. This research was supported by Slovenian Research Agency Program P1–0383.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrej Kastrin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kastrin, A., Klisara, J., Lužar, B. et al. Analysis of Slovenian research community through bibliographic networks. Scientometrics 110, 791–813 (2017). https://doi.org/10.1007/s11192-016-2203-z

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-016-2203-z

Keywords

Navigation