Abstract
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.
- Adar, E. Guess: A language and interface for graph exploration. In SIGCHI Conference on Human Factors in Computing Systems, ACM Press, 791--800. Google ScholarDigital Library
- Batagelj, V., and Mrvar, A. Pajek - program for large network analysis. Connections, 21:47--57, 1998.Google Scholar
- Baur, M., Benkert, M., Brandes, U., Cornelsen, S., M., Gaertler, K"opf, B., Lerner, J., and Wagner, D. Visone software for visual social network analysis. In P. Mutzel, M. J"unger, and S. Leipert, editors, Graph Drawing Software, Springer, 463--464, 2002.Google Scholar
- Bender-deMoll, S., and McFarland, D. The art and science of dynamic network visualization. Journal of Social Structure, 7(2), 2006.Google Scholar
- Bilgic, M., Licamele, L., Getoor, L., and Shneiderman, B. D-Dupe: An interactive tool for entity resolution in social networks. In Visual Analytics Science and Technology (VAST06), 43--50, 2006.Google Scholar
- Freeman, L. The development of social network analysis: a study in the sociology of science. Empirical Press, Vancouver, 2004.Google Scholar
- Freeman, L. C. Visualizing social networks. Journal of Social Structure, 1(1), 2000.Google Scholar
- Heer, J., and Boyd, D. Vizster: Visualizing online social networks. In IEEE Information Visualization, 32--39, 2005. Google ScholarDigital Library
- Heer, J., Card, S. K., and Landay, J. A. Prefuse: a toolkit for interactive information visualization. In SIGCHI Conference on Human Factors in Computing Systems, ACM Press, 421--430, 2005. Google ScholarDigital Library
- Herman, I., Melancon, G., and Marshall, M. S. Graph visualization and navigation in information visualization: A survey. IEEE Transactions on Visualization and Computer Graphics, 6(1):24--43, 2000. Google ScholarDigital Library
- Moody, J., McFarland, D., and Bender-deMoll, S. Dynamic network visualization. American Journal of Sociology, 110(4):1206--1241, 2005.Google ScholarCross Ref
- Netminer 3: Social network mining software. website: http://www.netminer.com/NetMiner/home 01.jsp.Google Scholar
- O'Madadhain, J., Fisher, D., Smyth, P., White, S., and Boey, Y. B. Analysis and visualization of network data using JUNG. Journal of Statistical Software, 1--35, 2005.Google Scholar
- Shen, Z., Ma, K., and Eliassi-Rad, T. Visual analysis of large heterogeneous social networks by semantic and structural abstraction. IEEE Transactions on Visualization and Computer Graphics, 12(6), 1427--1439, 2006. Google ScholarDigital Library
- Ucinet social network analysis software. website: http://www.analytictech.com/ucinet/ucinet.htm.Google Scholar
- Wasserman, S., and Faust, K. Social network analysis: methods and applications. Cambridge University Press, Cambridge, 1994.Google ScholarCross Ref
Index Terms
- Visual analysis of dynamic group membership in temporal social networks
Recommendations
Visualizing Group Structures in Graphs: A Survey
Graph visualizations encode relationships between objects. Abstracting the objects into group structures provides an overview of the data. Groups can be disjoint or overlapping, and might be organized hierarchically. However, the underlying graph still ...
Visual Exploration of the Spatial Distribution of Temporal Behaviors
IV '05: Proceedings of the Ninth International Conference on Information VisualisationThe paper elaborates on the previous research on the analysis of temporal and spatio-temporal data done in statistical graphics and geo-visualization. We focus on the exploration of spatially distributed time-series data, i.e. values of numeric ...
PaintingClass: interactive construction, visualization and exploration of decision trees
KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data miningDecision trees are commonly used for classification. We propose to use decision trees not just for classification but also for the wider purpose of knowledge discovery, because visualizing the decision tree can reveal much valuable information in the ...
Comments