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Multivariate Network Visualization Dagstuhl Seminar 13201 Dagstuhl Castle Germany May 1217 2013 Revised Discussions 1st Edition Andreas Kerren

  • SKU: BELL-4697230
Multivariate Network Visualization Dagstuhl Seminar 13201 Dagstuhl Castle Germany May 1217 2013 Revised Discussions 1st Edition Andreas Kerren
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Multivariate Network Visualization Dagstuhl Seminar 13201 Dagstuhl Castle Germany May 1217 2013 Revised Discussions 1st Edition Andreas Kerren instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 28.52 MB
Pages: 237
Author: Andreas Kerren, Helen C. Purchase, Matthew O. Ward (eds.)
ISBN: 9783319067926, 9783319067933, 3319067923, 3319067931
Language: English
Year: 2014
Edition: 1

Product desciption

Multivariate Network Visualization Dagstuhl Seminar 13201 Dagstuhl Castle Germany May 1217 2013 Revised Discussions 1st Edition Andreas Kerren by Andreas Kerren, Helen C. Purchase, Matthew O. Ward (eds.) 9783319067926, 9783319067933, 3319067923, 3319067931 instant download after payment.

This book is the outcome of the Dagstuhl Seminar 13201 on Information Visualization - Towards Multivariate Network Visualization, held in Dagstuhl Castle, Germany in May 2013. The goal of this Dagstuhl Seminar 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. The integration of multivariate data into complex networks and their visual analysis is one of the big challenges not only in visualization, but also in many application areas. Thus, in order to support discussions related to the visualization of real world data, also invited researchers from selected application areas, especially bioinformatics, social sciences and software engineering. The unique "Dagstuhl climate" ensured an open and undisturbed atmosphere to discuss the state-of-the-art, new directions and open challenges of multivariate network visualization.

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