DocumentCode :
2194979
Title :
Meerkat: Community Mining with Dynamic Social Networks
Author :
Chen, Jiyang ; Fagnan, Justin ; Goebel, Randy ; Rabbany, Reihaneh ; Sangi, Farzad ; Takaffoli, Mansoureh ; Verbeek, Eric ; Zaíane, Osmar
Author_Institution :
Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
fYear :
2010
fDate :
13-13 Dec. 2010
Firstpage :
1377
Lastpage :
1380
Abstract :
Meerkat is a tool for visualization and community mining of social networks. It is being developed to offer novel algorithms and functionality that other tools do not possess. Meerkat´s features include navigation through graphical representations of networks, network querying and filtering, a multitude of graphical layout algorithms, community mining using recently developed algorithms, and dynamic network event analysis using recently published algorithms. These features will allow more insightful exploratory analysis and more robust inferences about communities and the significance of entity relationships. Meerkat is under active development, and future features will include additional options for community mining and visualization, focusing on algorithms and user interface designs not existing in other social network analysis tools.
Keywords :
data mining; data visualisation; graphical user interfaces; information filtering; social networking (online); Meerkat; community mining; dynamic network event analysis; graphical layout algorithms; network filtering; network graphical representations; network querying; published algorithms; social network analysis tools; user interface designs; visualization mining; community mining; informational networks; social networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-9244-2
Electronic_ISBN :
978-0-7695-4257-7
Type :
conf
DOI :
10.1109/ICDMW.2010.40
Filename :
5693457
Link To Document :
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