IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v392y2013i10p2576-2587.html
   My bibliography  Save this article

A network approach based on cliques

Author

Listed:
  • Fadigas, I.S.
  • Pereira, H.B.B.

Abstract

The characterization of complex networks is a procedure that is currently found in several research studies. Nevertheless, few studies present a discussion on networks in which the basic element is a clique. In this paper, we propose an approach based on a network of cliques. This approach consists not only of a set of new indices to capture the properties of a network of cliques but also of a method to characterize complex networks of cliques (i.e., some of the parameters are proposed to characterize the small-world phenomenon in networks of cliques). The results obtained are consistent with results from classical methods used to characterize complex networks.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:10:p:2576-2587
    DOI: 10.1016/j.physa.2013.01.055
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437113001088
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2013.01.055?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Davi Alves Oliveira & Hernane Borges de Barros Pereira, 2024. "Modeling texts with networks: comparing five approaches to sentence representation," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 97(6), pages 1-12, June.
    2. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:392:y:2013:i:10:p:2576-2587. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.