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S. Chaturvedi, C. Dunne, Z. Ashktorab, R. Zachariah and B. Shneiderman Group-in-a-Box Meta-Layouts for Topological Clusters and Attribute-Based Groups: Space-Efficient Visualizations of Network Communities and Their Ties Computer Graphics Forum 33

Version of Record online: 2 JUN 2014 | DOI: 10.1111/cgf.12400

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An important part of network analysis is understanding community structures like topological clusters and attribute-based groups. Standard approaches for showing communities using color, shape, rectangular bounding boxes, convex hulls, or force-directed layout algorithms remain valuable, however our Group-in-a-Box meta-layouts add a fresh strategy for presenting community membership, internal structure, and inter-cluster relation-ships. This paper extends the basic Group-in-a-Box meta-layout, which uses a Treemap substrate of rectangular regions whose size is proportional to community size.

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