• DocumentCode
    1804803
  • Title

    Dynamic ranking objects based on time varying event network

  • Author

    Yongkang Xing ; Nannan Wu

  • Author_Institution
    Department of Computer Science, Chongqing University, China
  • fYear
    2013
  • fDate
    1-8 Jan. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The traditional node-ranking algorithms just rank the nodes of one network by the aggregation function to the network and do not refer to the sequence of the network events. We propose TVNM with dynamic ranking objects, which is a framework for quantifying the relationship between objects over time. And we also propose the modified PageRank algorithm based on TVNM. We compare the PageRank algorithm to the modified PageRank algorithm on a large organizational data set.
  • Keywords
    Nickel; Probabilistic logic; Event Network; PageRank; TVNM; Time Series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference Anthology, IEEE
  • Conference_Location
    China
  • Type

    conf

  • DOI
    10.1109/ANTHOLOGY.2013.6784943
  • Filename
    6784943