IDEAS home Printed from https://ideas.repec.org/a/spr/jcomop/v26y2013i2d10.1007_s10878-012-9467-x.html
   My bibliography  Save this article

The nearest neighbor Spearman footrule distance for bucket, interval, and partial orders

Author

Listed:
  • Franz J. Brandenburg

    (University of Passau)

  • Andreas Gleißner

    (University of Passau)

  • Andreas Hofmeier

    (University of Passau)

Abstract

Comparing and ranking information is an important topic in social and information sciences, and in particular on the web. Its objective is to measure the difference of the preferences of voters on a set of candidates and to compute a consensus ranking. Commonly, each voter provides a total order of all candidates. Recently, this approach was generalized to bucket orders, which allow ties. In this work we further generalize and consider total, bucket, interval and partial orders. The disagreement between two orders is measured by the nearest neighbor Spearman footrule distance, which has not been studied so far. For two bucket orders and for a total and an interval order the nearest neighbor Spearman footrule distance is shown to be computable in linear time, whereas for a total and a partial order the computation is NP-hard, 4-approximable and fixed-parameter tractable. Moreover, in contrast to the well-known efficient solution of the rank aggregation problem for total orders, we prove the NP-completeness for bucket orders and establish a 4-approximation.

Suggested Citation

  • Franz J. Brandenburg & Andreas Gleißner & Andreas Hofmeier, 2013. "The nearest neighbor Spearman footrule distance for bucket, interval, and partial orders," Journal of Combinatorial Optimization, Springer, vol. 26(2), pages 310-332, August.
  • Handle: RePEc:spr:jcomop:v:26:y:2013:i:2:d:10.1007_s10878-012-9467-x
    DOI: 10.1007/s10878-012-9467-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10878-012-9467-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10878-012-9467-x?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. Lisa De Mattéo & Yan Holtz & Vincent Ranwez & Sèverine Bérard, 2018. "Efficient algorithms for Longest Common Subsequence of two bucket orders to speed up pairwise genetic map comparison," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-19, December.

    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:jcomop:v:26:y:2013:i:2:d:10.1007_s10878-012-9467-x. 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.