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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

Editors:
  1. Andreas Kerren

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

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  2. Helen C. Purchase

    1. School of Computing Science, University of Glasgow, Glasgow, UK

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  3. Matthew O. Ward

    1. Department of Computer Science, Worcester Polytechnic Institute, Worcester, USA

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  • 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)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

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Table of contents (10 chapters)

  1. Front Matter

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  2. Introduction to Multivariate Network Visualization

    • Andreas Kerren, Helen C. Purchase, Matthew O. Ward
    Pages 1-9

  3. Application Domains - Characteristics and Challenges

    1. Front Matter

      Pages 11-11
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    2. Multivariate Networks in Software Engineering

      • Stephan Diehl, Alexandru C. Telea
      Pages 13-36

    3. Multivariate Social Network Visual Analytics

      • Chris Muelder, Liang Gou, Kwan-Liu Ma, Michelle X. Zhou
      Pages 37-59

    4. Multivariate Networks in the Life Sciences

      • Oliver Kohlbacher, Falk Schreiber, Matthew O. Ward
      Pages 61-73

  4. Topics in Multivariate Network Research

    1. Front Matter

      Pages 75-75
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    2. Tasks for Multivariate Network Analysis

      • Johannes Pretorius, Helen C. Purchase, John T. Stasko
      Pages 77-95

    3. Interaction in the Visualization of Multivariate Networks

      • Michael Wybrow, Niklas Elmqvist, Jean-Daniel Fekete, Tatiana von Landesberger, Jarke J. van Wijk, Björn Zimmer
      Pages 97-125

    4. Novel Visual Metaphors for Multivariate Networks

      • Jonathan C. Roberts, Jing Yang, Oliver Kohlbacher, Matthew O. Ward, Michelle X. Zhou
      Pages 127-150

    5. Temporal Multivariate Networks

      • Daniel Archambault, James Abello, Jessie Kennedy, Stephen Kobourov, Kwan-Liu Ma, Silvia Miksch et al.
      Pages 151-174

    6. Heterogeneous Networks on Multiple Levels

      • Falk Schreiber, Andreas Kerren, Katy Börner, Hans Hagen, Dirk Zeckzer
      Pages 175-206

    7. Scalability Considerations for Multivariate Graph Visualization

      • T. J. Jankun-Kelly, Tim Dwyer, Danny Holten, Christophe Hurter, Martin Nöllenburg, Chris Weaver et al.
      Pages 207-235

  5. Back Matter

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Keywords

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.

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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