• DocumentCode
    573538
  • Title

    Finding Skyline Nodes in Large Networks

  • Author

    Khan, Arijit ; Singh, Vishwakarma ; Wu, Jian

  • Author_Institution
    Comput. Sci., Univ. of California, Santa Barbara, Santa Barbara, CA, USA
  • fYear
    2012
  • fDate
    1-5 April 2012
  • Firstpage
    198
  • Lastpage
    204
  • Abstract
    Given a query node q in some graph dataset, we say that a node u is not dominated by another node v, if (1) the distance between u and q is less than the distance between v and q, or (2) the set of query node labels carried by u is a superset of the set of query node labels carried by v. A node is called a skyline node with respect to some query node, if it is not dominated by any other node in the graph, except the query node. Given a query node, the set of skyline nodes are more interesting, because any non-skyline node is farther from the query node and also it carries less number of query node labels, compared to some skyline node. Since there can be many such skyline nodes, they are usually ranked based on how many nodes each of them dominates. In this paper, we propose efficient techniques to determine the top-k skyline nodes from large network datasets.
  • Keywords
    graph theory; query processing; graph dataset; large network dataset; query node label; top-k skyline nodes; Buffer storage; Conferences; Data structures; Educational institutions; Indexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2012 IEEE 28th International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4673-1640-8
  • Type

    conf

  • DOI
    10.1109/ICDEW.2012.53
  • Filename
    6313680