Interactive Network Exploration to Derive Insights: Filtering, Clustering, Grouping, and Simplification

Shneiderman, Ben and Dunne, Cody (2013) Interactive Network Exploration to Derive Insights: Filtering, Clustering, Grouping, and Simplification. In: 20th International Symposium, GD 2012, September 19-21, 2012 , pp. 2-18(Official URL: http://link.springer.com/chapter/10.1007/978-3-642...).

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Abstract

The growing importance of network analysis has increased attention on interactive exploration to derive insights and support personal, business, legal, scientific, or national security decisions. Since networks are often complex and cluttered, strategies for effective filtering, clustering, grouping, and simplification are helpful in finding key nodes and links, surprising clusters, important groups, or meaningful patterns. We describe readability metrics and strategies that have been implemented in NodeXL, our free and open source network analysis tool, and show examples from our research. While filtering, clustering, and grouping have been used in many tools, we present several advances on these techniques. We also discuss our recent work on motif simplification, in which common patterns are replaced with compact and meaningful glyphs, thereby improving readability.

Item Type: Conference Paper
Additional Information: 10.1007/978-3-642-36763-2_2
Classifications: A General Literature > A.001 Introductory and Survey
S Software and Systems > S.120 Visualization
Divisions: UNSPECIFIED
Depositing User: Administration GDEA
Date Deposited: 21 Nov 2013 16:44
Last Modified: 21 Nov 2013 16:44
URI: http://gdea.informatik.uni-koeln.de/id/eprint/1292

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