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Core-periphery dynamics in collaboration networks: the case study of Slovenia

Author

Listed:
  • Mario Karlovčec

    (Jožef Stefan Institute)

  • Borut Lužar

    (Faculty of Information Studies)

  • Dunja Mladenić

    (Jožef Stefan Institute)

Abstract

The paper presents analysis of core-periphery structure and transition dynamics of individuals between the core and periphery in collaboration networks of Slovenian researchers over 44 years. We observe the dynamics of individuals from three different aspects: regarding the length of the presence in the core-strength, the length of intervals of permanent presence in the core-stability, and the presence in different time periods-balance. We use clustering and classification machine learning techniques in order to automatically group individuals with similar dynamics of behaviour into common classes. We study collaboration networks of Slovenian researchers based on their publication records. The data we used comprises about 18,000 researchers registered in Slovenian national databases of researchers together with their publications from 1970 to 2013.

Suggested Citation

  • Mario Karlovčec & Borut Lužar & Dunja Mladenić, 2016. "Core-periphery dynamics in collaboration networks: the case study of Slovenia," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1561-1578, December.
    • Handle: RePEc:spr:scient:v:109:y:2016:i:3:d:10.1007_s11192-016-2154-4
    DOI: 10.1007/s11192-016-2154-4
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    References listed on IDEAS

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    1. Marian-Gabriel Hâncean & Matjaž Perc & Lazăr Vlăsceanu, 2014. "Fragmented Romanian Sociology: Growth and Structure of the Collaboration Network," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
    2. Perc, Matjaž, 2010. "Growth and structure of Slovenia’s scientific collaboration network," Journal of Informetrics, Elsevier, vol. 4(4), pages 475-482.
    3. John P A Ioannidis & Kevin W Boyack & Richard Klavans, 2014. "Estimates of the Continuously Publishing Core in the Scientific Workforce," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-10, July.
    4. Patrick Doreian & Thomas J. Fararo, 1985. "Structural equivalence in a journal network," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 36(1), pages 28-37, January.
    5. Richard D. Alba & Gwen Moore, 1978. "Elite Social Circles," Sociological Methods & Research, , vol. 7(2), pages 167-188, November.
    6. Perc, Matjaž, 2010. "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, Elsevier, vol. 4(3), pages 358-364.
    7. Luka Kronegger & Franc Mali & Anuška Ferligoj & Patrick Doreian, 2012. "Collaboration structures in Slovenian scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 631-647, February.
    8. Miloš M. Jovanović & Marcus John & Stefan Reschke, 2010. "Effects of civil war: scientific cooperation in the republics of the former Yugoslavia and the province of Kosovo," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 627-645, March.
    9. 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.
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    Cited by:

    1. Andrej Kastrin & Jelena Klisara & Borut Lužar & Janez Povh, 2017. "Analysis of Slovenian research community through bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 791-813, February.
    2. Andrej Kastrin & Jelena Klisara & Borut Lužar & Janez Povh, 2018. "Is science driven by principal investigators?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1157-1182, November.
    3. Katarina Rojko & Brankica Bratić & Borut Lužar, 2020. "The Bologna reform’s impacts on the scientific publication performance of Ph.D. graduates—the case of Slovenia," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 329-356, July.

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