A Visual Analytics Approach to Dynamic Social Networks

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Abstract
The visualization and analysis of dynamic networks have become increasingly important in several fields, for instance sociology or economics. The dynamic and multi-relational nature of this data poses the challenge of understanding both its topological structure and how it changes over time. In this paper we propose a visual analytics approach for analyzing dynamic networks that integrates: a dynamic layout with user-controlled trade-off between stability and consistency; three temporal views based on different combinations of node-link diagrams (layer superimposition, layer juxtaposition, and two-and-a-half dimensional view); the visualization of social network analysis metrics; and specific interaction techniques for tracking node trajectories and node connectivity over time. This integration of visual, interactive, and automatic methods supports the multifaceted analysis of dynamically changing networks.
Notes
Year of Publication
2011
Conference Name
Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA)
Number of Pages
Publisher
ACM
Conference Location
Graz, Austria
ISBN Number
978-1-4503-0732-1
Citation Key
URL
http://publik.tuwien.ac.at/files/PubDat_198995.pdf
DOI
10.1145/2024288.2024344
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