License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.3.5.19
URN: urn:nbn:de:0030-drops-41775
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2013/4177/
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Kerren, Andreas ; Purchase, Helen ; Ward, Mathew O.
Weitere Beteiligte (Hrsg. etc.): Andreas Kerren and Helen C. Purchase and Matthew O. Ward

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

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dagrep_v003_i005_p019_s13201.pdf (4 MB)


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".

BibTeX - Entry

@Article{kerren_et_al:DR:2013:4177,
  author =	{Andreas Kerren and Helen Purchase and Mathew O. Ward},
  title =	{{Information Visualization - Towards Multivariate Network Visualization (Dagstuhl Seminar 13201)}},
  pages =	{19--42},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{3},
  number =	{5},
  editor =	{Andreas Kerren and Helen C. Purchase and Matthew O. Ward},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2013/4177},
  URN =		{urn:nbn:de:0030-drops-41775},
  doi =		{10.4230/DagRep.3.5.19},
  annote =	{Keywords: Information visualization, visualization, network visualization, graph drawing, visual analytics, network analysis, interaction}
}

Keywords: Information visualization, visualization, network visualization, graph drawing, visual analytics, network analysis, interaction
Collection: Dagstuhl Reports, Volume 3, Issue 5
Issue Date: 2013
Date of publication: 30.08.2013


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