• DocumentCode
    3155825
  • Title

    A Repository for Multirelational Dynamic Networks

  • Author

    Semenov, Alexander ; Veijalainen, Jari

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Syst., Univ. of Jyvaskyla, Jyvaskyla, Finland
  • fYear
    2012
  • fDate
    26-29 Aug. 2012
  • Firstpage
    1002
  • Lastpage
    1005
  • Abstract
    Nowadays, WWW contains a number of social media sites, which are growing rapidly. One of the main features of social media sites is to allow to its users creation and modification of contents of the site utilizing the offered WWW interfaces. Such contents are referred to as user generated contents and their type varies from site to site. Social media sites can be modeled as constantly evolving multirelational directed graphs. In this paper we discuss persistent data structures for such graphs, and present and analyze queries performed against the structures. We also estimate the space requirements of the proposed data structures, and compare them with the naive "store each complete snapshot of the graph separately". We also investigate query performance against our data structure. We present analytical estimation results, simulation results, and discuss its performance when it is used to store entire contents of Live journal.
  • Keywords
    content management; data structures; query processing; social networking (online); Live journal; WWW interface; content creation; content modification; multirelational directed graph; multirelational dynamic network; persistent data structure; query performance; social media site; user generated content; Algorithm design and analysis; Data mining; Data models; Databases; Heuristic algorithms; Media; Social network services; multirelational social network analysis; temporal databases; temporal social network analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-2497-7
  • Type

    conf

  • DOI
    10.1109/ASONAM.2012.174
  • Filename
    6425628