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Information Visualization for Social Network Analysis, NVSS semantic substrates, Social Action, NodeXL

Information Visualization for Social Network Analysis, NVSS semantic substrates, Social Action, NodeXL
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 Information Visualization for Social Network Analysis, Information Visualization for Social Network Analysis, Presentation Transcript

  • Information Visualization for Social Network Analysis Ben Shneiderman ben@cs.umd.edu Twitter: @benbendcFounding Director (1983-2000), Human-Computer Interaction Lab Professor, Department of Computer Science Member, Institute for Advanced Computer Studies
  • 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 www.awl.com/DTUI• Help, tutorials, training Fifth Edition: 2010• Search • Visualization
  • HCI Pride: Serving 5B UsersMobile, desktop, web, cloud Diverse users: novice/expert, young/old, literate/illiterate, abled/disabled, cultural, ethnic & linguistic diversity, gender, personality, skills, motivation, ... Diverse applications: E-commerce, law, health/wellness, education, creative arts, community relationships, politics, IT4ID, policy negotiation, mediation, peace studies, ... Diverse interfaces: Ubiquitous, pervasive, embedded, tangible, invisible, multimodal, immersive/augmented/virtual, ambient, social, affective, empathic, persuasive, ...
  • Using Vision to Think• Visual bandwidth is enormous • Human perceptual skills are remarkable • Trend, cluster, gap, outlier... • Color, size, shape, proximity... • Human image storage is fast and vast• Opportunities • Spatial layouts & coordination • Information visualization • Scientific visualization & simulation • Telepresence & augmented reality • Virtual environments
  • Spotfire: DC natality data
  • 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 •SciViz . 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, •InfoViz Temporal LifeLines, TimeSearcher, Palantir, DataMontage • Tree Cone/Cam/Hyperbolic, SpaceTree, Treemap • Network Pajek, JUNG, UCINet, SocialAction, NodeXL
  • NSF Workshops: Academics, Industry, Gov’t Jenny Preece (PI), Peter Pirolli & Ben Shneiderman (Co-PIs) www.tmsp.umd.edu
  • Cyberinfrastructure: Social Action on National Priorities - Scientific Foundations - Advancing Design of Social Participation Systems - Visions of What is Possible With Sharable Socio-technical Infrastructure - Participating in Health 2.0 - Educational Priorities for Technology Mediated Social Participation - Engaging the Public in Open Government: Social Media Technology and Policy for Government Transparency
  • Summer Social Webshop: August 23-26, 2011
  • UN Millennium Development GoalsTo be achieved by 2015 and hunger• Eradicate extreme poverty • 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
  • State-of-the-art network visualization
  • Node Placement Methods• Node-link diagrams • Force-directed layout • Geographical map • Circular layout • Temporal layout • Clustering • Layouts based on node attributes• Matrix-based• Tabular textual
  • Node Placement Methods• Node-link diagrams • Force-directed layout • Geographical map • Circular layout • Temporal layout • Clustering • Layouts based on node attributes• Matrix-based• Tabular textual
  • Node Placement Methods• Node-link diagrams • Force-directed layout • Geographical map • Circular layout • Temporal layout • Clustering • Layouts based on node attributes• Matrix-based• Tabular textual
  • NetViz Nirvana1) Every node is visible2) For every node you can count its degree3) For every link you can follow it from source to destination4) Clusters and outliers are identifiable
  • 1) NVSS: Semantic Substrates• Group nodes into regions According to an attribute Categorical, ordinal, or binned numerical• In each region: Place nodes according to other attribute(s)• Give users control of link visibility
  • Force Directed Layout 36 Supreme & 13 Circuit Court decisions268 Citations on Regulatory Takings 1978-2002
  • Network Visualization by Semantic Substrates NVSS 1.0
  • Filtering links by source-target
  • Filtering links by time attribute (1)
  • Network Visualization by Semantic Substrates • Meaningful layout of nodes • User controlled visibility of links • Cross refs in 11 Circuit Courts (green) + few refs to District Court cases www.cs.umd.edu/hcil/nvss
  • Network Visualization by Semantic Substrates NVSS 2.0 with Substrate Designer
  • 2) SocialAction:Integrating Statistics & VisualizationSenate 2007: 180 out of 310 Votes in Common
  • Social Action: 2007 Senate Votes 290 out of 310 Votes in Common
  • 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
  • Twitter discussion of #GOP Red: Republicans, anti-Obama, mention Fox Blue: Democrats, pro-Obama, mention CNN Green: non-affiliated Node size is number of followers Politico is major bridging group
  • CHI2010 Twitter Community www.codeplex.com/nodexl/
  • Flickr networks
  • Flickr clusters for “mouse” Computer Mickey Animal
  • Figure 7.11. : Lobbying Coalition Network connecting organizations (vertices) that have jointly filed comments on US Federal Communications Commission policies (edges). Vertex Size representsnumber of filings and color represents Eigenvector Centrality (pink = higher). Darker edges connect organizations with many joint filings. Vertices were originally positioned using Fruchterman-Rheingold and hand-positioned to respect clusters identified by NodeXL’s Find Clusters algorithm.
  • WWW2010 Twitter Community
  • WWW2011 Twitter Community: Grouped
  • Analogy: Clusters Are OccludedHard to count nodes, clusters
  • Separate Clusters Are More Comprehensible
  • Twitter Network for “msrtf11 OR techfest ”
  • Twitter Network for “msrtf11 OR techfest ”
  • US Senate Co-Voting Network 2007
  • US Senate Co-Voting Network 2007, Clustered South Northeast Mountain Paci fic Midwest
  • Small-World Graph with 5 Clusters
  • Small-World Graph with 5 Clusters
  • Small-World Graph with 5 Clusters
  • Pseudo-Random Graph with 5 Clusters
  • Pseudo-Random Graph with 5 Clusters
  • Scale-free Network with 10 Clusters
  • Scale-free Network with 10 Clusters
  • Scale-free Network with 10 Clusters
  • Scale-free Network with 10 Clusters
  • Scale-free Network with 10 Clusters
  • Innovation Patterns: 11,000 vertices, 26,000 edges
  • No Location Philadelphia Patent Tech Navy SBIR (federal) PA DCED (state) Related patent 2: Federal agencyPharmaceutical/Medical 3: EnterprisePittsburgh Metro 5: Inventors 9: Universities 10: PA DCED 11/12: Phil/Pitt metro cnty 13-15: Semi-rural/rural cnty 17: Foreign countries 19: Other statesWestinghouse Electric
  • No Location Philadelphia Innovation Clusters: People, Locations, Companies Patent Tech Navy SBIR (federal) PA DCED (state) Related patent 2: Federal agencyPharmaceutical/Medical 3: EnterprisePittsburgh Metro 5: Inventors 9: Universities 10: PA DCED 11/12: Phil/Pitt metro cnty 13-15: Semi-rural/rural cnty 17: Foreign countries 19: Other statesWestinghouse Electric
  • Discussion Group Postings, color by topic www.cs.umd.edu/hcil/non nationofneighbors.net
  • 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 Networkshttp://www.elsevier.com/wps/find/bookdescription.cws_home/723354/description
  • Social Media Research Foundation Social Media Research Foundation smrfoundation.org We are a group of researchers who want to create open tools, generate and host open data, and support open scholarship related to social media. smrfoundation.org
  • 29th Annual Symposium May 22-23, 2012 www.cs.umd.edu/hcil