IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v67y2009i3p271-275.html
   My bibliography  Save this article

On the rich-club effect in dense and weighted networks

Author

Listed:
  • V. Zlatic
  • G. Bianconi
  • A. Díaz-Guilera
  • D. Garlaschelli
  • F. Rao
  • G. Caldarelli

Abstract

No abstract is available for this item.

Suggested Citation

  • V. Zlatic & G. Bianconi & A. Díaz-Guilera & D. Garlaschelli & F. Rao & G. Caldarelli, 2009. "On the rich-club effect in dense and weighted networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(3), pages 271-275, February.
  • Handle: RePEc:spr:eurphb:v:67:y:2009:i:3:p:271-275
    DOI: 10.1140/epjb/e2009-00007-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1140/epjb/e2009-00007-9
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1140/epjb/e2009-00007-9?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. Henriet, Fanny & Hallegatte, Stéphane & Tabourier, Lionel, 2012. "Firm-network characteristics and economic robustness to natural disasters," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 150-167.
    2. Piccardi, Carlo & Calatroni, Lisa & Bertoni, Fabio, 2010. "Communities in Italian corporate networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5247-5258.
    3. Bokwon Lee & Kyu-Min Lee & Jae-Suk Yang, 2019. "Network structure reveals patterns of legal complexity in human society: The case of the Constitutional legal network," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-15, January.
    4. Stefania Vitali & Stefano Battiston, 2014. "The Community Structure of the Global Corporate Network," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-13, August.
    5. Assaf Almog & Rhys Bird & Diego Garlaschelli, 2015. "Enhanced Gravity Model of trade: reconciling macroeconomic and network models," Papers 1506.00348, arXiv.org, revised Feb 2019.
    6. Andrea Avena-Koenigsberger & Xiaoran Yan & Artemy Kolchinsky & Martijn P van den Heuvel & Patric Hagmann & Olaf Sporns, 2019. "A spectrum of routing strategies for brain networks," PLOS Computational Biology, Public Library of Science, vol. 15(3), pages 1-24, March.
    7. Logan Harriger & Martijn P van den Heuvel & Olaf Sporns, 2012. "Rich Club Organization of Macaque Cerebral Cortex and Its Role in Network Communication," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-13, September.
    8. An Zeng & Stefano Battiston, 2016. "The Multiplex Network of EU Lobby Organizations," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-15, October.
    9. Kyu-Min Lee & Jae-Suk Yang & Gunn Kim & Jaesung Lee & Kwang-Il Goh & In-mook Kim, 2011. "Impact of the Topology of Global Macroeconomic Network on the Spreading of Economic Crises," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-11, March.
    10. Cinelli, Matteo & Ferraro, Giovanna & Iovanella, Antonio, 2018. "Rich-club ordering and the dyadic effect: Two interrelated phenomena," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 808-818.
    11. Vinko Zlatić & Giampaolo Gabbi & Hrvoje Abraham, 2015. "Reduction of Systemic Risk by Means of Pigouvian Taxation," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-18, July.
    12. Athen Ma & Raúl J Mondragón, 2015. "Rich-Cores in Networks," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-13, March.
    13. Luu, Duc Thi & Lux, Thomas & Yanovski, Boyan, 2017. "Structural correlations in the Italian overnight money market: An analysis based on network configuration models," Economics Working Papers 2017-02, Christian-Albrechts-University of Kiel, Department of Economics.

    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:spr:eurphb:v:67:y:2009:i:3:p:271-275. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.