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Simplifying Network Visualizations with Motif Glyphs. Cody Dunne and Ben Shneiderman {cdunne, ben}@ cs.umd.edu 29 th Annual Human-Computer Interaction Lab Symposium, May 22–23, 2011 College Park, MD. Network Analysis is Hard. Who Uses Network Analysis. So what can we do?. Better Layouts.
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Simplifying Network Visualizations with Motif Glyphs Cody Dunne and Ben Shneiderman {cdunne, ben}@cs.umd.edu 29thAnnual Human-Computer Interaction Lab Symposium, May 22–23, 2011 College Park, MD
Better Layouts Alternate Visualizations Gove et al, 2011; Henry & Fekete, 2006; Dunne et al, 2012; Freireet al, 2010; Wattenberg, 2006 Hachul& Jünger, 2006 Graph Summarization Navlakha et al, 2008
Lostpedia articles Observations 1: There are repeating patterns in networks (motifs) 2: Motifs often dominate the visualization 3: Motifs members can be functionally equivalent
Our approach: Motif Simplification to reduce visualization complexity
Motif Simplification Fan Motif 2-Parallel Motif
Glyph Design Guidelines • Representative: topology, count& attributes • Easily distinguishable • Easily comparable • Allow overlaps
Interactivity Fan motif: 133 leaf vertices with head vertex “Theory”
User Impressions “I’m overwhelmed, … this is like one of those vision tests at the eye doctor” “Now I can see the central pages…[and] pairwise connections”
Discussion Motif simplification effective for • Reducing complexity • Understanding larger relationships However • Frequent motifs may not be covered • Glyph design has tradeoffs Details & algorithms in Tech Report
Take Away Messages Motif simplificationreduces the complexity of network visualizations. Freeand open source next month in NodeXL: http://nodexl.codeplex.com/ http://www.cs.umd.edu/hcil/motifs/ Thanks to: Social Media Research Foundation Connected Action Consulting Group