Visualizing Temporal Evolution of Networks Jae-wook Ahn, Awalin Sopan, Catherine Plaisant, Meirav Taieb-maimon, and Ben Shneiderman

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Presentation transcript:

Visualizing Temporal Evolution of Networks Jae-wook Ahn, Awalin Sopan, Catherine Plaisant, Meirav Taieb-maimon, and Ben Shneiderman Human Computer Interaction Lab University of Maryland 5/26/11HCIL Symposium 2011

Goals 1.Visually represent temporal changes of networks 2.Understand the meaning of the changes –Infer the cause and the results of the phenomena –Support the evaluation of Success 5/26/111HCIL Symposium 2011 What are the temporal pattern of the changes? Why does the pattern appear?

What to Visualize? Nation of Neighbors – Collaboration with a social community service – Temporal evolution of social activities – Conversation (Post & Reply network) – Crime report – Invitation network to the service Additional variables for inferential analysis 5/26/112HCIL Symposium 2011

NoN Activities Example Total number of conversations per community (Cumulative) 5/26/113HCIL Symposium 2011 Time Watch Jefferson County (WV) Duncan St. Neighborhood (CA) Greater Round Rock West Neighborhood Association (TX) Killian Pines (FL)

How to Visualize? Highlight temporal changes –Additions & deletions –Network metrics Three Tools to Show Time Differences –NodeXL –TempoVis –ManyNets 5/26/114HCIL Symposium 2011

NodeXL 5/26/115HCIL Symposium 2011 NoN Invitation Network

TempoVis Combines node/link diagram + timeline visualizations –Navigation with a “Time Slider” –Marquee-selection of sub-groups Shows addition and aging of node/links 5/26/116HCIL Symposium 2011

5/26/11HCIL Symposium 20117

5/26/11HCIL Symposium 20118

5/26/11HCIL Symposium 20119

5/26/11HCIL Symposium

5/26/11HCIL Symposium

ManyNets 5/26/11HCIL Symposium Visualize many networks simultaneously

ManyNets Post Reply Report

Overview: Activeness and Growth Activity over time Node Watch-Jefferson County communities

Split Network by Time Post Reply Report More reports

ManyNets Features Quick overview of networks Analyze activity patterns over time Identify groups and outliers Identify similar communities 5/26/1116HCIL Symposium 2011

Take Away Message Temporal network visualization Social network (e.g. NoN) data Goals – Visually represent temporal changes of networks – Understand the meaning of the changes Three visualization tools  Different benefits! 5/26/1117HCIL Symposium 2011

Acknowledgements ManyNets development – Manuel Freire NodeXL – Microsoft External Research Support – National Science Foundation grant IIS – National Science Foundation-Computing Research Association Computing Innovation Fellow – Lockheed Martin Comments & Feedbacks – Nation of Neighbors team, Art Hanson, Derek Hansen, Mark Smith, Adam Perer, PJ Rey, and Alan Neustadtl 5/26/1118HCIL Symposium 2011