Reducing snapshots to points : a visual analytics approach to dynamic network exploration

S.J. van den Elzen, D.H.R. Holten, J. Blaas, J.J. Wijk, van

Research output: Contribution to journalArticleAcademicpeer-review

118 Citations (Scopus)
27 Downloads (Pure)


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. Keywords: Dynamic Networks, Exploration, Dimensionality Reduction.
Original languageEnglish
Pages (from-to)1-10
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number1
Publication statusPublished - 2016


Dive into the research topics of 'Reducing snapshots to points : a visual analytics approach to dynamic network exploration'. Together they form a unique fingerprint.

Cite this