IDEAS home Printed from https://ideas.repec.org/p/cor/louvrp/1798.html
   My bibliography  Save this paper

A measure of similarity between graph vertices: Applications to synonym extraction and web searching

Author

Listed:
  • BLONDEL, Vincent D.
  • GAJARDO, Anahi
  • HYEMANS, Maureen
  • SENELLART, Pierre

Abstract

No abstract is available for this item.

Suggested Citation

  • BLONDEL, Vincent D. & GAJARDO, Anahi & HYEMANS, Maureen & SENELLART, Pierre, 2004. "A measure of similarity between graph vertices: Applications to synonym extraction and web searching," LIDAM Reprints CORE 1798, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:1798
    DOI: 10.1137/S0036144502415960
    Note: In : SIAM Review, 46(4), 647-666, 2004.
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1137/S0036144502415960
    Download Restriction: no
    File URL: https://libkey.io/10.1137/S0036144502415960?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
    ---><---

    Citations

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


    Cited by:

    1. F. Aleskerov & N. Meshcheryakova & S. Shvydun, 2016. "Centrality measures in networks based on nodes attributes, long-range interactions and group influence," Papers 1610.05892, arXiv.org.
    2. Jyoti Singh & Sripriya Roy Chowdhuri & Gosala Bethany & Manjari Gupta, 2022. "Detecting design patterns: a hybrid approach based on graph matching and static analysis," Information Technology and Management, Springer, vol. 23(3), pages 139-150, September.
    3. Anna Concas & Lothar Reichel & Giuseppe Rodriguez & Yunzi Zhang, 2021. "Iterative Methods for the Computation of the Perron Vector of Adjacency Matrices," Mathematics, MDPI, vol. 9(13), pages 1-16, June.
    4. Michael D. König & Xiaodong Liu & Yves Zenou, 2019. "R&D Networks: Theory, Empirics, and Policy Implications," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 476-491, July.
    5. Stefan Lange & Jonathan F Donges & Jan Volkholz & Jürgen Kurths, 2015. "Local Difference Measures between Complex Networks for Dynamical System Model Evaluation," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-28, April.
    6. Viviana Viña-Cervantes & Michele Coscia & Renaud Lambiotte, 2018. "The struggle for existence in the world market ecosystem," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-20, October.

    More about this item

    Statistics

    Access and download statistics

    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:cor:louvrp:1798. 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: Alain GILLIS (email available below). General contact details of provider: https://edirc.repec.org/data/coreebe.html .

    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.