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Polish Universities of Economics in European Networks

Author

Listed:
  • Sagan Adam

    (Cracow University of Economics,Cracow, Poland)

  • Brzezińska Justyna

    (University of Economics in Katowice,Katowice, Poland)

  • Sztemberg-Lewandowska Mirosława

    (Wroclaw University of Economics and Business,Wroclaw, Poland)

  • Pełka Marcin

    (Wroclaw University of Economics and Business,Wroclaw, Poland)

Abstract

In recent years, the evaluation of research conducted in European universities has become a significant problem. The growing concern for the quality and evaluation of research conducted at universities highlights the importance of university rankings, especially global rankings. The aim of the paper is to identify the network system of Polish universities of economics among their European counterparts belonging to the same networks, and indicate the positions of Polish universities within these networks. The study used a network approach to analyse the connections of European universities using university networks. The networks enable the visualization of complex, multidimensional data and provide statistical indicators for interpreting the resultant graphs. The analysis is exploratory in its nature and uses visualisation techniques of social network analysis (SNA), multidimensional scaling (MDS), principal component analysis (PCA), and Eigen-model network analysis (ENA). The analysis covered 150 universities of economics in Europe and 11 university networks. Network analyses were performed with the R program. The paper presents different methods that allowed for the identification of network systems of Polish economic universities within the networks of European universities. An analysis of the social networks based on network indicators was also included.

Suggested Citation

  • Sagan Adam & Brzezińska Justyna & Sztemberg-Lewandowska Mirosława & Pełka Marcin, 2021. "Polish Universities of Economics in European Networks," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 25(1), pages 91-111, March.
  • Handle: RePEc:vrs:eaiada:v:25:y:2021:i:1:p:91-111:n:5
    DOI: 10.15611/eada.2021.1.06
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    References listed on IDEAS

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    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
    2. Isidro F. Aguillo & Judit Bar-Ilan & Mark Levene & José Luis Ortega, 2010. "Comparing university rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 243-256, October.
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    More about this item

    Keywords

    principal component analysis (PCA); multidimensional scaling (MDS); network analysis; European universities;
    All these keywords.

    JEL classification:

    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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