@conference{345,
  keywords = {Visual analytics, social network analysis, interaction, information visualization, graph drawing, dynamic networks, dynamic layout},
  author = {Paolo Federico and Wolfgang Aigner and Silvia Miksch and Florian Windhager and Lukas Zenk},
  title = {A Visual Analytics Approach to Dynamic Social Networks},
  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.
},
  year = {2011},
  journal = {Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA)},
  pages = {47:1–47:8},
  publisher = {ACM},
  address = {Graz, Austria},
  isbn = {978-1-4503-0732-1},
  url = {http://publik.tuwien.ac.at/files/PubDat_198995.pdf},
  doi = {10.1145/2024288.2024344},
  note = {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
},
}