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Analysis of academic productivity based on Complex Networks

Author

Listed:
  • R. Álvarez

    (Universidad de Zaragoza)

  • E. Cahué

    (Universidad de Zaragoza)

  • J. Clemente-Gallardo

    (Universidad de Zaragoza
    Universidad de Zaragoza)

  • A. Ferrer

    (Universidad de Zaragoza)

  • D. Íñiguez

    (Universidad de Zaragoza)

  • X. Mellado

    (Universidad de Zaragoza)

  • A. Rivero

    (Universidad de Zaragoza)

  • G. Ruiz

    (Universidad de Zaragoza)

  • F. Sanz

    (Universidad de Zaragoza)

  • E. Serrano

    (Universidad de Zaragoza)

  • A. Tarancón

    (Universidad de Zaragoza
    Universidad de Zaragoza)

  • Y. Vergara

    (Universidad de Zaragoza)

Abstract

We present a new tool, Kampal ( http://kampal.unizar.es ), developed to help to analyze the academic productivity of a research institution from the point of view of Complex Networks. We will focus on two main aspects: paper production and funding by research grants. Thus, we define a network of researchers and define suitable ways of describing their interaction, either by co-publication, project-collaboration, or a combination of both. From the corresponding complex networks, we extract maps which encode in graphical terms the relevant information and numerical parameters which encode the topological properties of the network. Thousands of these maps have been created and allow us to study the similarities and differences of the co-publications and the project-collaboration networks.

Suggested Citation

  • R. Álvarez & E. Cahué & J. Clemente-Gallardo & A. Ferrer & D. Íñiguez & X. Mellado & A. Rivero & G. Ruiz & F. Sanz & E. Serrano & A. Tarancón & Y. Vergara, 2015. "Analysis of academic productivity based on Complex Networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 651-672, September.
    • Handle: RePEc:spr:scient:v:104:y:2015:i:3:d:10.1007_s11192-015-1627-1
    DOI: 10.1007/s11192-015-1627-1
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    References listed on IDEAS

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    Cited by:

    1. José Alberto Molina & Alfredo Ferrer & David Iñiguez & Alejandro Rivero & Gonzalo Ruiz & Alfonso Tarancón, 2020. "Network analysis to measure academic performance in economics," Empirical Economics, Springer, vol. 58(3), pages 995-1018, March.
    2. José Alberto Molina & David Iñiguez & Gonzalo Ruiz & Alfonso Tarancón, 2021. "Leaders among the leaders in Economics: a network analysis of the Nobel Prize laureates," Applied Economics Letters, Taylor & Francis Journals, vol. 28(7), pages 584-589, April.
    3. M. Pelacho & G. Ruiz & F. Sanz & A. Tarancón & J. Clemente-Gallardo, 2021. "Analysis of the evolution and collaboration networks of citizen science scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 225-257, January.
    4. Molina, José Alberto & Alcolea, Alberto & Ferrer, Alfredo & Iñiguez, David & Rivero, Alejandro & Ruiz, Gonzalo & Tarancón, Alfonso, 2016. "Co-authorship and Academic Productivity in Economics: Interaction Maps from the Complex Networks Approach," IZA Discussion Papers 10008, Institute of Labor Economics (IZA).
    5. Clemente-Gallardo, J. & Ferrer, A. & Íñiguez, D. & Rivero, A. & Ruiz, G. & Tarancón, A., 2019. "Do researchers collaborate in a similar way to publish and to develop projects?," Journal of Informetrics, Elsevier, vol. 13(1), pages 64-77.
    6. Molina, José Alberto & Iñíguez, David & Ruiz, Gonzalo & Tarancón, Alfonso, 2022. "Networks in Population Economics: production and collaborations," GLO Discussion Paper Series 1051, Global Labor Organization (GLO).
    7. José Alberto Molina & David Iñiguez & Gonzalo Ruiz & Alfonso Tarancón, 2018. "The Nobel Prize in Economics: individual or collective merits?," Boston College Working Papers in Economics 966, Boston College Department of Economics.

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