Visual analytics of social networks: mining and visualizing co-authorship networks
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
Mining social networks for significant friend groups
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications
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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.