Information Visualization - Towards Multivariate Network Visualization (Dagstuhl Seminar 13201)

Authors Andreas Kerren, Helen Purchase, Mathew O. Ward and all authors of the abstracts in this report



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Andreas Kerren
Helen Purchase
Mathew O. Ward
and all authors of the abstracts in this report

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Andreas Kerren, Helen Purchase, and Mathew O. Ward. Information Visualization - Towards Multivariate Network Visualization (Dagstuhl Seminar 13201). In Dagstuhl Reports, Volume 3, Issue 5, pp. 19-42, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)
https://doi.org/10.4230/DagRep.3.5.19

Abstract

Information Visualization (InfoVis) focuses on the use of visualization techniques to help people understand and analyze large and complex data sets. The aim of this third Dagstuhl Seminar on Information Visualization was to bring together theoreticians and practitioners from Information Visualization, HCI, and Graph Drawing with a special focus on multivariate network visualization, i.e., on graphs where the nodes and/or edges have additional (multidimensional) attributes. To support discussions related to the visualization of real world data, researchers from selected application areas, especially bioinformatics, social sciences, and software engineering, were also invited. During the seminar, working groups on six different topics were formed and enabled a critical reflection on ongoing research efforts, the state of the field in multivariate network visualization, and key research challenges today. This report documents the program and the outcomes of Dagstuhl Seminar 13201 "Information Visualization -- Towards Multivariate Network Visualization".
Keywords
  • Information visualization
  • visualization
  • network visualization
  • graph drawing
  • visual analytics
  • network analysis
  • interaction

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