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Analyzing Social Media Networks with NodeXL Ben Shneiderman firstname.lastname@example.org @benbendcFounding Director (1983-2000), Human-Computer Interaction Lab Professor, Department of Computer Science Member, Institute for Advanced Computer Studies University of Maryland College Park, MD 20742
Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Poli Sci & MITH (www.cs.umd.edu/hcil)
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:
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 www.cs.umd.edu/hcil/socialaction Perer & Shneiderman, CHI2008, IEEE CG&A 2009
Footprints of Human Activity• Footprints in sand as Caesarea
NodeXL: Network Overview for Discovery & Exploration in Excelwww.codeplex.com/nodexl
NodeXL:Network Overview for Discovery & Exploration in Excel www.codeplex.com/nodexl
Co-author network for HCIL tech reports Vertices sized by number of papers. Edges sized number of coauthored reports. Colored by clustering.
Co-author network for HCIL tech reports Vertices sized by number of papers, edges sized number of coauthored reports Colored by date of first paper. Includes only those with at least 5 coauthored papers.
Analyzing Social Media Networks with NodeXLI. 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 AnalysisII. NodeXL Tutorial: Learning by Doing 4. Layout, Visual Design & Labeling 5. Calculating & Visualizing Network Metrics 6. Preparing Data & Filtering 7. Clustering &GroupingIII 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 FoundationResearchers 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 GoalsTo be achieved by 2015 • 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
Just happened: 28th Annual Symposium May 25-26, 2011Next Event: Summer Social Webshop August 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