DocumentCode :
2408399
Title :
Exploring Social Networks: A Frequent Pattern Visualization Approach
Author :
Leung, Carson Kai-Sang ; Carmichael, Christopher L.
Author_Institution :
Dept. of Comput. Sci., Univ. of Manitoba, Winnipeg, MB, Canada
fYear :
2010
fDate :
20-22 Aug. 2010
Firstpage :
419
Lastpage :
424
Abstract :
Social network analysis and mining aims to search for implicit, previously unknown, and potentially useful relational information (e.g., social relationship) from social networks. A visual representation of the networks helps users to gain insights about the useful information mined from the networks. Many existing visualizers represent social networks as graphs. While the graphs depict pairwise connections between two social entities, they may not show the connection strength or the multi-entity relationship (e.g., coauthorship and collaboration frequency). In this paper, we propose a visualizer called SocialViz for providing users with frequency information on social relationship among multiple entities in the networks. SocialViz can serve as a standalone visualization tool, or as a complement to existing visualizers, for exploring social networks.
Keywords :
data mining; data visualisation; graphs; social networking (online); SocialViz; coauthorship; collaboration frequency; frequent pattern visualization approach; graphs; social network analysis; social network mining; Cellular phones; Collaboration; Communication networks; Data mining; Data visualization; Diamond-like carbon; Social network services; Social computing; data mining in social contexts; frequent pattern mining; human machine interactions; social network analysis and mining; visualizing social networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Social Computing (SocialCom), 2010 IEEE Second International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-8439-3
Electronic_ISBN :
978-0-7695-4211-9
Type :
conf
DOI :
10.1109/SocialCom.2010.67
Filename :
5591283
Link To Document :
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