Human-Computer Interaction Laboratory University of Maryland

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Human-Computer Interaction Laboratory University of Maryland Catherine Plaisant www.cs.umd/hcil [email protected] ACTIVITIES related to Social Network: Information Visualization, Interaction, E valuation

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Human-Computer Interaction Laboratory University of Maryland. Catherine Plaisant www.cs.umd/hcil [email protected] ACTIVITIES related to Social Network: Information Visualization, Interaction, Evaluation. HCIL relevant strengths: Information Visualization, e.g. :. LifeLines. Treemap. - PowerPoint PPT Presentation

Transcript of Human-Computer Interaction Laboratory University of Maryland

Page 1: Human-Computer Interaction Laboratory University of Maryland

Human-Computer Interaction Laboratory

University of Maryland

Catherine Plaisant www.cs.umd/hcil [email protected]

ACTIVITIES related to Social Network:

Information Visualization, Interaction, Evaluation

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HCIL relevant strengths:Information Visualization, e.g. :

Treemap

TimeSearcher HCE (Hierarchical Clustering Explorer)

LifeLines

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HCIL relevant strengths:Zoomable User Interfaces, e.g. :

International Children Digital Library

CounterPoint

Fisheye menus

SpaceTree

Datelens

SpaceTree

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Current projects:Network Data Visualization

TreePlus Tree-centered solution Interaction + Visualization Focus on readability and stability Incremental navigation

NetLens Interactive coordinated overviews Dynamic filtering Bipartite graphs Scale to large datasets

Selected apps: bibliography, email archives, food webs

www.cs.umd/hcil/graphvis

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GraphPlus

TreePlus

TreePlus

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NetLens – e.g. Papers & People (ACM DL)

Papers on the leftAuthors on the right

Overviews provided for all attributes (here for number of papersper year)

Filtered to show only papers related to visualiza- tion, and the people who wrote those papers are shown on the right side, aggregated by institution type.

Also for studying Enron email, or legal cases and courts

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InfoVis 2004 Contest The History of InfoVishttp://www.cs.umd.edu/hcil/iv04contest/

10 years of Infovis papers – 18 submissions

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Evaluation

Benchmark datasets Representative tasks Ground truth Metrics Repositories Methods for evaluation

Longitudinal case studies Insight based evaluation etc.