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IEEE Transactions on Visualization and Computer Graphics
prefuse: a toolkit for interactive information visualization
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Vizster: Visualizing Online Social Networks
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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IEEE Transactions on Visualization and Computer Graphics
SSnetViz: a visualization engine for heterogeneous semantic social networks
Proceedings of the 11th International Conference on Electronic Commerce
Temporal visualization of social network dynamics: prototypes for nation of neighbors
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
GerbilSphere: Inner sphere network visualization
Computer Networks: The International Journal of Computer and Telecommunications Networking
Community detection via heterogeneous interaction analysis
Data Mining and Knowledge Discovery
HiNGE: enabling temporal network analytics at scale
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
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C-Group is a tool for analyzing dynamic group membership in temporal social networks over time. Unlike most network visualization tools, which show the group structure within an entire network, or the group membership for a single actor, C-Group allows users to focus their analysis on a pair of individuals. While C-Group allows for viewing the addition and deletion of nodes (actors) and edges (relationships) over time, its major contribution is its focus on changing group memberships over time. By doing so, users can investigate the context of temporal group memberships for the pair. C-Group provides users with a flexible interface for defining (and redefining) groups interactively, and supports two novel visual representations of the evolving group memberships. This flexibility gives users alternate views that are appropriate for different network sizes and provides users with different insights into the grouping behavior. We demonstrate the utility of the tool on a scientific publication network.