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Talk in Google- NYC, 6/3/2011 covering Information Visualization Analyzing Social Media Networks with NodeXL
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Analyzing Social Media Networkswith NodeXL
Ben Shneiderman [email protected] @benbendc
Founding Director (1983-2000), Human-Computer Interaction LabProfessor, Department of Computer Science
Member, Institute for Advanced Computer Studies
University of MarylandCollege Park, MD 20742
Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Poli Sci & MITH (www.cs.umd.edu/hcil)
Design Issues
• Input devices & strategies• Keyboards, pointing devices, voice
• Direct manipulation
• Menus, forms, commands
• Output devices & formats• Screens, windows, color, sound
• Text, tables, graphics
• Instructions, messages, help
• Collaboration & Social Media
• Help, tutorials, training
• Search www.awl.com/DTUI
Fifth Edition: 2010
• Visualization
Information Visualization
• Visual bandwidth is enormous• Human perceptual skills are remarkable
• Trend, cluster, gap, outlier...
• Color, size, shape, proximity...
• Three challenges• Meaningful visual displays of massive data
• Interaction: widgets & window coordination
• Process models for discovery:
Leader in Info Visualization
Business takes action
• General Dynamics buys MayaViz
• Agilent buys GeneSpring
• Google buys Gapminder
• Oracle buys Hyperion
• Microsoft buys Proclarity
• InfoBuilders buys Advizor Solutions
• SAP buys (Business Objects buys Xcelsius & Inxight & Crystal Reports )
• IBM buys (Cognos buys Celequest) & ILOG
• TIBCO buys Spotfire
Spotfire: Retinol’s role in embryos & vision
http://registration.spotfire.com/eval/default_edu.asp
10M - 100M pixels
Large displays for single or multiple users
100M-pixels & more
1M-pixels & less
Small mobile devices
Information Visualization: Mantra
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
Information Visualization: Data Types
• 1-D Linear Document Lens, SeeSoft, Info Mural
• 2-D Map GIS, ArcView, PageMaker, Medical imagery
• 3-D World CAD, Medical, Molecules, Architecture
• Multi-Var Spotfire, Tableau, GGobi, TableLens, ParCoords,
• Temporal LifeLines, TimeSearcher, Palantir, DataMontage
• Tree Cone/Cam/Hyperbolic, SpaceTree, Treemap
• Network Pajek, JUNG, UCINet, SocialAction, NodeXL
I
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infosthetics.com flowingdata.com infovis.org eagereyes.org www.infovis.net/index.php?lang=2
Anscombe’s Quartet
1 2 3 4
x y x y x y x y
10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58
8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76
13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71
9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84
11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47
14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04
6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25
4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50
12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56
7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91
5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89
Anscombe’s Quartet
1 2 3 4
x y x y x y x y
10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58
8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76
13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71
9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84
11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47
14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04
6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25
4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50
12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56
7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91
5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89
Property Value
Mean of x 9.0
Variance of x 11.0
Mean of y 7.5
Variance of y 4.12
Correlation 0.816
Linear regression y = 3 + 0.5x
Anscombe’s Quartet
Temporal Data: TimeSearcher 1.3
• Time series• Stocks
• Weather
• Genes
• User-specified patterns
• Rapid search
Temporal Data: TimeSearcher 2.0
• Long Time series (>10,000 time points)
• Multiple variables
• Controlled precision in match (Linear, offset, noise, amplitude)
LifeLines: Patient Histories
www.cs.umd.edu/hcil/lifelines
LifeLines2: Contrast+Creatine
LifeLines2: Align-Rank-Filter & Summarize
Treemap: Gene Ontology
www.cs.umd.edu/hcil/treemap/
+ Space filling
+ Space limited
+ Color coding
+ Size coding - Requires learning
(Shneiderman, ACM Trans. on Graphics, 1992 & 2003)
www.smartmoney.com/marketmap
Treemap: Smartmoney MarketMap
Market falls steeply Feb 27, 2007, with one exception
Market mixed, February 8, 2008 Energy & Technology up, Financial & Health Care down
Market rises, September 1, 2010, Gold contrarians
Market rises, March 21, 2011, Sprint declines
newsmap.jp
Treemap: Newsmap (Marcos Weskamp)
www.hivegroup.com
Treemap: Supply Chain
www.spotfire.com
Treemap: Spotfire Bond Portfolio Analysis
Treemap: NY Times – Car&Truck Sales
www.cs.umd.edu/hcil/treemap/
Treemap (Voronoi): NY Times - Inflation
www.nytimes.com/interactive/2008/05/03/business/20080403_SPENDING_GRAPHIC.html
State-of-the-art network visualization
Discovery Process: Systematic Yet Flexible
Preparation• Own the problem & define the schedule• Data cleaning & conditioning• Handle missing & uncertain data• Extract subsets & link to related information
SocialAction
• Integrates statistics & visualization
• 4 case studies, 4-8 weeks (journalist, bibliometrician, terrorist analyst, organizational analyst)
• Identified desired features, gave strong positive feedback about benefits of integration
Perer & Shneiderman, CHI2008, IEEE CG&A 2009www.cs.umd.edu/hcil/socialaction
Footprints of Human Activity
• Footprints in sand as Caesarea
NodeXL: Network Overview for Discovery & Exploration in Excel
www.codeplex.com/nodexl
NodeXL: Network Overview for Discovery & Exploration in Excel
www.codeplex.com/nodexl
NodeXL: Import Dialogs
www.codeplex.com/nodexl
Tweets at #WIN09 Conference: 2 groups
WWW2010 Twitter Community
WWW2011 Twitter Community: Grouped
Tweets for #HCI: 2 groups
CHI2010 Twitter Community
www.codeplex.com/nodexl/
Oil Spill Twitter Community
www.codeplex.com/nodexl/
‘GOP’ tweets, clustered (red-Republicans)
Flickr clusters for “mouse”
Computer Mickey
Animal
Flickr networks
Co-author network for HCIL tech reports
Vertices sized by number of papers. Edges sized number of co-authored reports. Colored by clustering.
Co-author network for HCIL tech reports
Vertices sized by number of papers, edges sized number of co-authored reports
Colored by date of first paper.
Includes only those with at least 5 co-authored papers.
Nation of Neighbors Discussion Groups
Analyzing Social Media Networks with NodeXL
I. Getting Started with Analyzing Social Media Networks 1. Introduction to Social Media and Social Networks 2. Social media: New Technologies of Collaboration 3. Social Network Analysis
II. NodeXL Tutorial: Learning by Doing 4. Layout, Visual Design & Labeling 5. Calculating & Visualizing Network Metrics 6. Preparing Data & Filtering 7. Clustering &Grouping
III Social Media Network Analysis Case Studies 8. Email 9. Threaded Networks 10. Twitter 11. Facebook 12. WWW 13. Flickr 14. YouTube 15. Wiki Networks
www.elsevier.com/wps/find/bookdescription.cws_home/723354/description
Social Media Research Foundation
Researchers who want to - create open tools - generate & host open data - support open scholarship
Map, measure & understand social media
Support tool projects to collection, analyze & visualize social media data.
smrfoundation.org
UN Millennium Development Goals
• Eradicate extreme poverty and hunger• Achieve universal primary education• Promote gender equality and empower women• Reduce child mortality• Improve maternal health• Combat HIV/AIDS, malaria and other diseases• Ensure environmental sustainability• Develop a global partnership for development
To be achieved by 2015
Just happened: 28th Annual SymposiumMay 25-26, 2011
Next Event: Summer Social WebshopAugust 23-26, 2011
(Sponsored by NSF & Google)www.cs.umd.edu/hcil/webshop2011
For More Information
• Visit the HCIL website for 400 papers & info on videos www.cs.umd.edu/hcil
• Conferences & resources: www.infovis.org
• See Chapter 14 on Info Visualization Shneiderman, B. and Plaisant, C., Designing the User Interface: Strategies for Effective Human-Computer Interaction: Fifth Edition (March 2009) www.awl.com/DTUI
• Edited Collections: Card, S., Mackinlay, J., and Shneiderman, B. (1999) Readings in Information Visualization: Using Vision to Think Bederson, B. and Shneiderman, B. (2003) The Craft of Information Visualization: Readings and Reflections
For More Information
• Treemaps• HiveGroup: www.hivegroup.com • Smartmoney: www.smartmoney.com/marketmap • HCIL Treemap 4.0: www.cs.umd.edu/hcil/treemap
• Spotfire: www.spotfire.com • TimeSearcher: www.cs.umd.edu/hcil/timesearcher • NodeXL: nodexl.codeplex.com• Hierarchical Clustering Explorer:
www.cs.umd.edu/hcil/hce
• LifeLines2: www.cs.umd.edu/hcil/lifelines2 • Similan: www.cs.umd.edu/hcil/similan