Exploring ENRON Email with NetLens Catherine Plaisant, Benjamin B. - - PowerPoint PPT Presentation
Joint Institute for Knowledge Discovery Exploring ENRON Email with NetLens Catherine Plaisant, Benjamin B. Bederson Hyunmo Kang, Bongshin Lee Human-Computer Interaction Laboratory University of Maryland Our research focus Alternatives UI to
Human-Computer Interaction Laboratory University of Maryland
Joint Institute for Knowledge Discovery
how to avoid this… Node-Link diagrams have many limitations. Not readable, may show clusters but not much else, do not scale well.
User Interface for exploratory search Generalizable to a variety of data
Provide consistent interface
Easy to learn and use
Kang et al.
Kang and al. Poster/Demo at Joint Conference in Digital Libraries, 2006
Paired networks of Content and Actors, e.g. Paired networks of Papers and Authors
Paired networks of Emails and People
Paired networks of Products and Companies
Entity E1 Entity E2 Self-relationship Self-relationship Relationship
Examples for scientific papers:
Total Enron email (non duplicate) 249,760 emails, 87,673 people
Email Overview by years People (addresses) Overview by Domain
Alternative overviews: emails by day of the week, grouped by year People by: connectance magnitude (Low medium high)
1- Keyword Search Here a search on “California” 2- Similarity Search Find emails similar to
Result set loaded in “My list” (with Doug Oard’s team)
high connectance With Jen Golbeck
high connectance With Jen Golbeck
Using
Replay Separate conversations Direct access to mentions of : subject, names, keywords (with Carol Espy’s team)
With Bonnie Dorr and Doug Oard’s teams
Plant a seed and watch it grow Faster, more accurate, preferred
for tasks that involve reading and exploration of connections
To show hidden graph structure
Highlight and preview of adjacent nodes Animated change of tree structure Visual hints about graph structure
TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts To appear in TVCG Special Issues on Visual Analytics
Visualizing Graphs as Trees: Plant a seed and watch it grow Proceedings of GD 2005 (poster), LNCS, pp. 516-518
e.g. NetLens for Scientific Publications (Papers and Authors)
Heuristic review at NIST 5 PEOPLE – self trained with video) Usability Study 9 people, training, debriefing Other improvements
C# (using piccolo toolkit) MS Access Database NetLens component code available on request
Conclusions Simple content actor model helpful Powerful yet simple Training about flow behavior Continue integration with other IJKD data E.g. Entity resolution Evaluation (case studies of analysis) Needs for Proto Tool Facilitate code customization for different applications Flexible entities switching (to handle any choice of pairs) Usability
plaisant@cs.umd.edu (301)405-2768 bederson@cs.umd.edu (301) 405-2764 NetLens: www.cs.umd.edu/hcil/netlens TreePlus: www.cs.umd.edu/hcil/treeplus Papers and Video demonstrations available
Source code available on request.
Fails, Karlson, Shahamat & Shneiderman, VAST 2006
Shneiderman & Aris, InfoVis 2006