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P. Federico, W. Aigner, S. Miksch, F. Windhager, L. Zenk:
"A visual analytics approach to dynamic social networks";
Vortrag: International Conference on Knowledge Management and Knowledge Technologies (I-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA), Graz; 07.09.2011; 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; S. 47:1 - 47:8.

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.

dynamic layout, dynamic networks, graph drawing, interaction, social network analysis, information visualization, visual analytics

http://dx.doi.org/10.1145/2024288.2024344

http://publik.tuwien.ac.at/files/PubDat_198995.pdf

Projektleitung Silvia Miksch:
CVAST: Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise)

Projektleitung Silvia Miksch:
VIENA: Visual Enterprise Network Analytics