NetDriller: A Powerful Social Network Analysis Tool

  • Authors:
  • Negar Koochakzadeh;Atieh Sarraf;Keivan Kianmehr;Jon Rokne;Reda Alhajj

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • ICDMW '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops
  • Year:
  • 2011

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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.