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

SocialCom 2011

MIT - Boston, MA

Robert Gove, Nick Gramsky, Rose Kirby, Emre Sefer, Cody Dunne, Awalin Sopan, Ben Shneiderman, Meirav Taieb-Maimon

Presented by: Nick Gramsky – University of Maryland

ngramsky@cs.umd.edu

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

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Visualizing Network Evolution

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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

23

4

1

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 node-node 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/