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Multivariate Network Visualization

Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions

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  • © 2014

Overview

  • Presents and extends the findings of Dagstuhl Seminar no. 13201 on Information Visualization
  • Chapters are collaboratively written by experts in information visualization, HCI and graph drawing with a special focus on multivariate network visualization
  • Covers a variety of topics related to multivariate network visualization and its applications in software engineering, social networks, life sciences

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8380)

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About this book

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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Keywords

Table of contents (10 chapters)

  1. Application Domains - Characteristics and Challenges

  2. Topics in Multivariate Network Research

Editors and Affiliations

  • Faculty of Technology (FTK), Department of Computer Science, Linnaeus University, Växjö, Sweden

    Andreas Kerren

  • School of Computing Science, University of Glasgow, Glasgow, UK

    Helen C. Purchase

  • Department of Computer Science, Worcester Polytechnic Institute, Worcester, USA

    Matthew O. Ward

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