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Community Structure and the Evolution of Interdisciplinarity in Slovenia's Scientific Collaboration Network

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  • Borut Lužar
  • Zoran Levnajić
  • Janez Povh
  • Matjaž Perc

Abstract

Interaction among the scientific disciplines is of vital importance in modern science. Focusing on the case of Slovenia, we study the dynamics of interdisciplinary sciences from to . Our approach relies on quantifying the interdisciplinarity of research communities detected in the coauthorship network of Slovenian scientists over time. Examining the evolution of the community structure, we find that the frequency of interdisciplinary research is only proportional with the overall growth of the network. Although marginal improvements in favor of interdisciplinarity are inferable during the 70s and 80s, the overall trends during the past 20 years are constant and indicative of stalemate. We conclude that the flow of knowledge between different fields of research in Slovenia is in need of further stimulation.

Suggested Citation

  • Borut Lužar & Zoran Levnajić & Janez Povh & Matjaž Perc, 2014. "Community Structure and the Evolution of Interdisciplinarity in Slovenia's Scientific Collaboration Network," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-5, April.
    • Handle: RePEc:plo:pone00:0094429
    DOI: 10.1371/journal.pone.0094429
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    References listed on IDEAS

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    1. Perc, Matjaž, 2010. "Growth and structure of Slovenia’s scientific collaboration network," Journal of Informetrics, Elsevier, vol. 4(4), pages 475-482.
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    2. Jinseok Kim & Liang Tao & Seok-Hyoung Lee & Jana Diesner, 2016. "Evolution and structure of scientific co-publishing network in Korea between 1948–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 27-41, April.
    3. Türker, İlker & Çavuşoğlu, Abdullah, 2016. "Detailing the co-authorship networks in degree coupling, edge weight and academic age perspective," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 386-392.
    4. Blagus, Neli & Šubelj, Lovro & Weiss, Gregor & Bajec, Marko, 2015. "Sampling promotes community structure in social and information networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 206-215.
    5. Kovac, Dejan & Scrbec, Nikol & Podobnik, Boris, 2018. "Does it payoff to research economics—A tale of citation, knowledge and economic growth in transition countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 293-305.
    6. 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.
    7. Wang, Chunyu & Zhang, Fan & Deng, Yue & Gao, Chao & Li, Xianghua & Wang, Zhen, 2020. "An adaptive population control framework for ACO-based community detection," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    8. Rojko, Katarina & Lužar, Borut, 2022. "Scientific performance across research disciplines: Trends and differences in the case of Slovenia," Journal of Informetrics, Elsevier, vol. 16(2).
    9. Shengli Deng & Sudi Xia, 2020. "Mapping the interdisciplinarity in information behavior research: a quantitative study using diversity measure and co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 489-513, July.
    10. Hongyu Zhou & Raf Guns & Tim C. E. Engels, 2022. "Are social sciences becoming more interdisciplinary? Evidence from publications 1960–2014," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(9), pages 1201-1221, September.
    11. Tošić, Aleksandar & Vičič, Jernej, 2021. "Use of Benford's law on academic publishing networks," Journal of Informetrics, Elsevier, vol. 15(3).
    12. Ma, Guoshuai & Yuhua, Qian & Zhang, Yayu & Yan, Hongren & Cheng, Honghong & Hu, Zhiguo, 2022. "The recognition of kernel research team," Journal of Informetrics, Elsevier, vol. 16(4).
    13. Akimushkin, Camilo & Amancio, Diego R. & Oliveira, Osvaldo N., 2018. "On the role of words in the network structure of texts: Application to authorship attribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 49-58.

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