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NetVisia : Heat Map & Matrix Visualization of Dynamic Social Network Statistics & Content

Robert Gove, Nick Gramsky, Rose Kirby, Emre Sefer , Cody Dunne, Awalin Sopan , Ben Shneiderman , Meirav Taieb-Maimon. Presented by: Nick Gramsky – University of Maryland . NetVisia : Heat Map & Matrix Visualization of Dynamic Social Network Statistics & Content. ngramsky@cs.umd.edu.

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NetVisia : Heat Map & Matrix Visualization of Dynamic Social Network Statistics & Content

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  1. Robert Gove, Nick Gramsky, Rose Kirby, EmreSefer, Cody Dunne, AwalinSopan, Ben Shneiderman, MeiravTaieb-Maimon Presented by: Nick Gramsky – University of Maryland NetVisia: Heat Map & Matrix Visualization of Dynamic Social Network Statistics & Content • ngramsky@cs.umd.edu SocialCom 2011 MIT - Boston, MA

  2. Challenges with Node/Link Diagrams • Great Overview for Composition • Difficult to analyze Temporally • Identifying changes requires multiple pictures • Relies on memory

  3. STICK Data Set - 2004 • STICK Data Set – 2004 • Sized on degree

  4. STICK Data Set - 2005 • STICK Data Set – 2005 • Sized on degree • What changed? • Whose degree increased? • Whose degree had a bigger change?

  5. Visualizing Network Evolution +

  6. Visualizing Network Evolution +

  7. What is NetVisia • Tool for Visualizing Network Evolution  • Abandons Link-Node Diagrams for Heat Maps / Adjacency Matrices • Clustering • Alignment • Any type of network • Social • Computer • Visualize / Analyze / Provide Insight on: • Conventional Network Attributes • User-defined Node / Edge content • Ex: Keywords in co-authorship dataset

  8. NetVisia - Overview 4 3 2 1

  9. STICK DataSet – Clustered View • Nodes – Business concepts & entities • Edges – Co-occurrence of terms • Analysis shows: • Outliers • Bad Data • Suggests discrete periods for investigation

  10. Stick DataSet – Adjacency Matrix • Deep dive • discrete time period • Metrics for node-node relationships • Cluster identification 2005

  11. Stick DataSet – Adjacency Matrix 2006 2007

  12. 2004 InfoViz Co-authorship Dataset • Info-Viz Co-authorship • 840 distinct authors  • 1995 to 2004 • Nodes are authors • Edges are co-authored papers • Clustered & Aligned

  13. 2004 InfoViz Co-authorship Dataset • Info-Viz Co-authorship • 840 distinct authors  • 1995 to 2004 • Nodes are authors • Edges are co-authored papers • Clustered & Aligned • Recognition of behavior pattern • Most co-author only one paper

  14. 2008 VAST Cell Phone Challenge • Cell phone calls in a 10-day period / 12-hour periods • Nodes – People • Edges – Phone Calls • Summary shows cyclical behavior • Clustering shows shift in identities of members

  15. Challenges / Future Work • Challenges • Data Structures • Future Work • Responsiveness • Additional Features • Edge representation in overview window • Tooltips

  16. Questions • More information: • http://www.cs.umd.edu/hcil/netvisia/

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