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Robustness in semantic networks based on cliques

Author

Listed:
  • Grilo, M.
  • Fadigas, I.S.
  • Miranda, J.G.V.
  • Cunha, M.V.
  • Monteiro, R.L.S.
  • Pereira, H.B.B.

Abstract

Here, we present a study on how the structure of semantic networks based on cliques (specifically, article titles) behaves when vertex removal strategies (i.e., random and uniform vertex removal — RUR, highest degree vertex removal — HDR, and highest intermediation centrality vertex removal — HICR) are applied to this type of network. We propose a method for calculation of the average size of the small components and we identify the existence of a fraction (fp) where the topological structure of the network changes. Semantic networks based on cliques maintain the small-world phenomenon when subjected to RUR, HDR and HICR for fractions of removed vertices less than or equal to fp.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:472:y:2017:i:c:p:94-102
    DOI: 10.1016/j.physa.2016.12.087
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    References listed on IDEAS

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    1. Oecd, 2004. "Peer to Peer Networks in OECD Countries," OECD Digital Economy Papers 82, OECD Publishing.
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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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