A Task Taxonomy for Network Evolution Analysis

Visualization has proven to be a useful tool for understanding network structures. Yet the dynamic nature of social media networks requires powerful visualization techniques that go beyond static network diagrams. To provide strong temporal network visualization tools, designers need to understand w...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics 2014-03, Vol.20 (3), p.365-376
Main Authors: Jae-wook Ahn, Plaisant, Catherine, Shneiderman, Ben
Format: Article
Language:English
Subjects:
Communities
Compounds
Data visualization
design space
Evolution
Evolution (biology)
network evolution
Network visualization
Networks
Social network services
Social networks
task taxonomy
Tasks
Taxonomy
temporal analysis
Temporal logic
Visualization
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Summary:Visualization has proven to be a useful tool for understanding network structures. Yet the dynamic nature of social media networks requires powerful visualization techniques that go beyond static network diagrams. To provide strong temporal network visualization tools, designers need to understand what tasks the users have to accomplish. This paper describes a taxonomy of temporal network visualization tasks. We identify the 1) entities, 2) properties, and 3) temporal features, which were extracted by surveying 53 existing temporal network visualization systems. By building and examining the task taxonomy, we report which tasks are well covered by existing systems and make suggestions for designing future visualization tools. The feedback from 12 network analysts helped refine the taxonomy.
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2013.238