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Issue No. 01 - Jan. (2016 vol. 22)
ISSN: 1077-2626
pp: 1-10
Stef van den Elzen , , Eindhoven University of Technology
Danny Holten , , SynerScope B. V.
Jorik Blaas , , SynerScope B. V.
Jarke J. van Wijk , , Eindhoven University of Technology
ABSTRACT
We propose a visual analytics approach for the exploration and analysis of dynamic networks. We consider snapshots of the network as points in high-dimensional space and project these to two dimensions for visualization and interaction using two juxtaposed views: one for showing a snapshot and one for showing the evolution of the network. With this approach users are enabled to detect stable states, recurring states, outlier topologies, and gain knowledge about the transitions between states and the network evolution in general. The components of our approach are discretization, vectorization and normalization, dimensionality reduction, and visualization and interaction, which are discussed in detail. The effectiveness of the approach is shown by applying it to artificial and real-world dynamic networks.
INDEX TERMS
Principal component analysis, Visual analytics, Animation, Manganese, Data visualization, Indexes
CITATION
Stef van den Elzen, Danny Holten, Jorik Blaas, Jarke J. van Wijk, "Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration", IEEE Transactions on Visualization & Computer Graphics, vol. 22, no. , pp. 1-10, Jan. 2016, doi:10.1109/TVCG.2015.2468078
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