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
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