Talks and Poster Presentations (with Proceedings-Entry):
P. Federico, W. Aigner, S. Miksch, F. Windhager, L. Zenk:
"A visual analytics approach to dynamic social networks";
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; in: "Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA)",
ACM,
(2011),
ISBN: 978-1-4503-0732-1;
47:1
- 47:8.
English 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.
Keywords:
dynamic layout, dynamic networks, graph drawing, interaction, social network analysis, information visualization, visual analytics
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1145/2024288.2024344
Electronic version of the publication:
http://publik.tuwien.ac.at/files/PubDat_198995.pdf
Related Projects:
Project Head Silvia Miksch:
CVAST: Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise)
Project Head Silvia Miksch:
VIENA: Visual Enterprise Network Analytics
Created from the Publication Database of the Vienna University of Technology.