Group‐in‐a‐Box Meta‐Layouts for Topological Clusters and Attribute‐Based Groups: Space‐Efficient Visualizations of Network Communities and Their Ties. (2nd June 2014)

• Record Type: Journal Article
• Authors: Chaturvedi, S.; Dunne, C.; Ashktorab, Z.; Zachariah, R.; Shneiderman, B.
• Is Part Of: Computer graphics forum. Volume 33:Number 8(2014)
• Page Start: 52
• Page End: 68
• Publication Date: 2014-06-02
• Subjects: Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.12400
• Languages: English
• ISSNs: 0167-7055

Abstract

<abstract abstract-type="graphical" xml:lang="en" id="cgf12400-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p>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. <boxed-text content-type="graphic" position="anchor" orientation="portrait"><graphic position="anchor" mimetype="image" xlink:href="ark:/27927/pgh2d2h5bhz" orientation="portrait" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" /></boxed-text></p> </abstract>