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Scientific journal disciplinarity quantification and sorting using a network index

Author

Listed:
  • Inácio Sousa Fadigas

    (State University of Feira de Santana)

  • Marcos Grilo

    (State University of Feira de Santana)

  • Hernane Borges Barros Pereira

    (SENAI Cimatec University Center
    State University of Bahia)

Abstract

In this article, we present the results of research using a network index, called the vertex reduction factor, to quantify and to sort the disciplinarity of journals. The index is based on the repeatability of article title words. Titles were obtained from 16 journals from different areas of knowledge. We took as a reference the Scopus database, which classifies the journals into 4 main areas, divided into 26 thematic areas. We define a Journal’s Disciplinarity Factor, independent of the size of the network, from which it is possible to quantify and rank the journals according to their greater or lesser multidisciplinary nature. We found that journals such as Science and Nature, self-declared as multidisciplinary, presented less multidisciplinary potential than expected, compared with other journals.

Suggested Citation

  • Inácio Sousa Fadigas & Marcos Grilo & Hernane Borges Barros Pereira, 2023. "Scientific journal disciplinarity quantification and sorting using a network index," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2563-2573, June.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:3:d:10.1007_s11135-022-01467-w
    DOI: 10.1007/s11135-022-01467-w
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    References listed on IDEAS

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    1. Fadigas, I.S. & Pereira, H.B.B., 2013. "A network approach based on cliques," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2576-2587.
    2. Grilo, M. & Fadigas, I.S. & Miranda, J.G.V. & Cunha, M.V. & Monteiro, R.L.S. & Pereira, H.B.B., 2017. "Robustness in semantic networks based on cliques," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 94-102.
    3. Pereira, H.B.B. & Fadigas, I.S. & Monteiro, R.L.S. & Cordeiro, A.J.A. & Moret, M.A., 2016. "Density: A measure of the diversity of concepts addressed in semantic networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 81-84.
    4. Pereira, H.B.B. & Fadigas, I.S. & Senna, V. & Moret, M.A., 2011. "Semantic networks based on titles of scientific papers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1192-1197.
    5. Loet Leydesdorff, 2007. "Betweenness centrality as an indicator of the interdisciplinarity of scientific journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1303-1319, July.
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