Reordering massive sequence views: Enabling temporal and structural analysis of dynamic networks

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

22 Citations (Scopus)
2 Downloads (Pure)


Networks are present in many fields such as finance, sociology, and transportation. Often these networks are dynamic: they have a structural as well as a temporal aspect. We present a technique that extends the Massive Sequence View (MSV) for the analysis of the temporal and structural aspects of dynamic networks. Using features in the data as well as in the visualization based on the Gestalt principles closure, proximity, and similarity, we developed node reordering strategies for the MSV to make these features stand out. This enables users to find temporal properties such as trends, counter trends, periodicity, temporal shifts, and anomalies in the network as well as structural properties such as communities and stars. We show the effectiveness of the reordering methods on both synthetic and real-world transaction data sets.
Original languageEnglish
Title of host publication6th IEEE Pacific Visualization Symposium (PacificVis, Sydney, Australia, February 26-March 1, 2013)
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-1-4673-4797-6
Publication statusPublished - 2013
Event6th IEEE Pacific Visualization Symposium (PacificVis 2013) - Sydney, Australia
Duration: 26 Feb 20131 Mar 2013
Conference number: 6


Conference6th IEEE Pacific Visualization Symposium (PacificVis 2013)
Abbreviated titlePacificVis 2013
Internet address


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