Document Collections 2 cs 5984 Information Visualization Chris

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Document Collections 2 cs 5984: Information Visualization Chris North

Document Collections 2 cs 5984: Information Visualization Chris North

Visualization Strategies • • • Cluster Maps Keyword Query Relationships Reduced representation User controlled

Visualization Strategies • • • Cluster Maps Keyword Query Relationships Reduced representation User controlled layout

Cluster Maps • Kohonen • Themescapes

Cluster Maps • Kohonen • Themescapes

Galaxy of News Cluster map with full text Zooming

Galaxy of News Cluster map with full text Zooming

Keyword Query • Tilebars

Keyword Query • Tilebars

VIBE • Korfhage, http: //www. pitt. edu/~korfhage/interfaces. html • Documents located between query keywords

VIBE • Korfhage, http: //www. pitt. edu/~korfhage/interfaces. html • Documents located between query keywords using spring model

VR-VIBE

VR-VIBE

Keyword Query • Good: • Reduces the browsing space • Map according to user’s

Keyword Query • Good: • Reduces the browsing space • Map according to user’s interests • Bad: • What keywords do I use? • What about other related documents that don’t use these keywords? • No initial overview • Mega-hit, zero-hit problem

Relationships • Show inter-relationships • Matrix or Complete Graph • Similarity measure between all

Relationships • Show inter-relationships • Matrix or Complete Graph • Similarity measure between all pairs of docs • Threshold level • Salton

Variations Docs + Paragraphs Themes

Variations Docs + Paragraphs Themes

Citation Networks • Butterfly Browser • Mackinlay, … (PARC) Butterfly: Left = refs Right

Citation Networks • Butterfly Browser • Mackinlay, … (PARC) Butterfly: Left = refs Right = citers Yellow = #citers Blue = visited 3 d plot: date, Name, # citers

Relationships • Better for smaller, more detailed map • Scale up: Network visualization •

Relationships • Better for smaller, more detailed map • Scale up: Network visualization • Good: • Can see more complex relationships between/within documents • Can act like hyperlinks! • Bad: • Finding specific documents • Scale up difficult

Reduced Representation • Bederson, “Image browsing” • Rui, Anusha

Reduced Representation • Bederson, “Image browsing” • Rui, Anusha

User controlled layout • Card, “Web. Book and Web Forager” • Mrinmayee, Ming •

User controlled layout • Card, “Web. Book and Web Forager” • Mrinmayee, Ming • http: //vtopus. cs. vt. edu/~north/infoviz/webbook. mpa

Next Week • Tues: 3 -D data • Kniss, “Interactive Volume Rendering with Direct

Next Week • Tues: 3 -D data • Kniss, “Interactive Volume Rendering with Direct Manip” » xueqi, mahesh • Thurs: Workspaces • Robertson, “Task Gallery” » supriya, varun • Upson, “AVS” » christa, jun • Thanksgiving break • Tues 27: Debates • Kobsa, “Empirical comparison of comm infovis systems” » kunal, zhiping

Upcoming Sched • • • Tues: 3 -D data Thurs: Workspaces Thanksgiving break Tues

Upcoming Sched • • • Tues: 3 -D data Thurs: Workspaces Thanksgiving break Tues 27: Debates, 2 D vs 3 D Thurs 29: How (not) to lie with visualization Dec: project presentations • Dec 7: CHI 2 -pagers due, student posters due