A Visual Analytics Approach to Dynamic Social Networks

TitleA Visual Analytics Approach to Dynamic Social Networks
Publication TypeConference Paper
Year of Publication2011
AuthorsFederico, P., W. Aigner, S. Miksch, F. Windhager, and L. Zenk
Conference NameProceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA)
Pages47:1–47:8
PublisherACM
Conference LocationGraz, Austria
ISBN Number978-1-4503-0732-1
Keywordsdynamic layout, dynamic networks, graph drawing, information visualization, interaction, social network analysis, Visual analytics
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

talk: International Conference on Knowledge Management and Knowledge Technologies (I-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA), Graz; 2011-09-07

URLhttp://publik.tuwien.ac.at/files/PubDat_198995.pdf
DOI10.1145/2024288.2024344
Funding projects: 
CVAST
Funding projects: 
VIENA