IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v93y2020i5d10.1140_epjb_e2020-100075-1.html
   My bibliography  Save this article

Finding modular structure in multiplex networks by sequential intra-layer edge elimination

Author

Listed:
  • Dérick G. F. Borges

    (Instituto de Física, Universidade Federal da Bahia)

  • Roberto F. S. Andrade

    (Instituto de Física, Universidade Federal da Bahia
    Centre for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz (FIOCRUZ))

Abstract

Identifying modular properties of multiplex networks presents additional subtleties to the already corresponding difficult problem in single layer networks. One most evident issue is the presence of conflicting module partitions, when two or more layers have very clear community structure that differ from one another. Based on the well known Newman-Girvan method, a framework (MultiNG) to reach this goal is developed and tested. Taking into account that the community structure of any multiplex layer can be evaluated in advance, and that multiplex nodes have an intrinsic identity, MultiNG is targeted at finding one sole global structure, meaning that to any node a single module is assigned in all layers. As a consequence, inter-layer connections are preserved throughout the process, and only intra-layer edges are eligible to be eliminated. The reliability of the procedure is tested by investigating different cases, as synthetic multiplex networks and multiplex networks obtained from real data. Results are compared with those obtained by other methods. Graphical abstract

Suggested Citation

  • Dérick G. F. Borges & Roberto F. S. Andrade, 2020. "Finding modular structure in multiplex networks by sequential intra-layer edge elimination," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 93(5), pages 1-12, May.
    • Handle: RePEc:spr:eurphb:v:93:y:2020:i:5:d:10.1140_epjb_e2020-100075-1
    DOI: 10.1140/epjb/e2020-100075-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1140/epjb/e2020-100075-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1140/epjb/e2020-100075-1?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.

    More about this item

    Keywords

    Statistical and Nonlinear Physics;

    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:spr:eurphb:v:93:y:2020:i:5:d:10.1140_epjb_e2020-100075-1. 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.