• DocumentCode
    3130434
  • Title

    NetDriller: A Powerful Social Network Analysis Tool

  • Author

    Koochakzadeh, Negar ; Sarraf, Atieh ; Kianmehr, Keivan ; Rokne, Jon ; Alhajj, Reda

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2011
  • fDate
    11-11 Dec. 2011
  • Firstpage
    1235
  • Lastpage
    1238
  • Abstract
    The social network methodology has gained considerable attention recently. The main motivation is to construct and analyze social networks that involve actors from a specific application domain. The advanced computing technology has facilitated automating the process and provided flexibility, robustness and scalability. A large number of automated tools exist. Each tool supports specific functions in addition to the general common functions inspired from the social network methodology. After identifying some of the interesting functions lacking in the existing tools, we have developed Net Driller as a powerful tool with distinguished capabilities. Compared to the existing tools, Net Driller supports some unique tasks, such as network construction based on data analysis by mining the raw dataset to produce more informative links between actors. Net Driller also facilitates fuzzy search on network metrics. In this demo paper, we introduce the basic features of Net Driller by focusing on the two functionalities mentioned above.
  • Keywords
    data analysis; data mining; social networking (online); NetDriller tool; data analysis; dataset mining; social network analysis tool; social network methodology; Clustering algorithms; Data mining; Educational institutions; Fuzzy sets; Itemsets; Measurement; Social network services; Data Mining; Fuzzy Logic; Social Network Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4673-0005-6
  • Type

    conf

  • DOI
    10.1109/ICDMW.2011.128
  • Filename
    6137526