NetVisia: Heat Map & Matrix Visualization of Dynamic Social

Download Report

Transcript NetVisia: Heat Map & Matrix Visualization of Dynamic Social

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
[email protected]
SocialCom 2011
MIT - Boston, MA
Challenges with Node/Link Diagrams
• Great Overview for
Composition
• Difficult to analyze
Temporally
• Identifying
changes requires
multiple pictures
• Relies on memory
STICK Data Set - 2004
• STICK Data Set – 2004
• Sized on degree
STICK Data Set - 2005
• STICK Data Set – 2005
• Sized on degree
• What changed?
• Whose degree increased?
• Whose degree had a
bigger change?
Visualizing Network Evolution
+
Visualizing Network Evolution
+
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
NetVisia - Overview
2
1
4
3
STICK DataSet – Clustered View
• Nodes – Business
concepts & entities
• Edges – Co-occurrence
of terms
• Analysis shows:
• Outliers
• Bad Data
• Suggests discrete
periods for investigation
Stick DataSet – Adjacency Matrix
• Deep dive
• discrete time
period
• Metrics for nodenode relationships
• Cluster
identification
2005
Stick DataSet – Adjacency Matrix
2006
2007
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
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
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
Challenges / Future Work
• Challenges
• Data Structures
• Future Work
• Responsiveness
• Additional Features
• Edge representation in overview window
• Tooltips
Questions
• More information:
• http://www.cs.umd.edu/hcil/netvisia/