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