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Density: A measure of the diversity of concepts addressed in semantic networks

Author

Listed:
  • Pereira, H.B.B.
  • Fadigas, I.S.
  • Monteiro, R.L.S.
  • Cordeiro, A.J.A.
  • Moret, M.A.

Abstract

In this paper, we studied density effects in semantic networks constructed from a database of titles of papers published in scientific journals as a parameter to indicate the diversity of concepts in a journal. The proposed method essentially consists of fixing the number of titles for all of the studied scientific journals and analyzing the behavior of the density variation curves with regard to the inclusion of cliques (that is, complete networks associated with the titles). We observed that density behaves as a critically self-organized object when titles (cliques) are included in the network.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:441:y:2016:i:c:p:81-84
    DOI: 10.1016/j.physa.2015.08.024
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    Cited by:

    1. 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.

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