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Multivariate Network Visualization

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

  • Andreas Kerren
  • Helen C. Purchase
  • Matthew O. Ward

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

Table of contents

  1. Front Matter
  2. Andreas Kerren, Helen C. Purchase, Matthew O. Ward
    Pages 1-9
  3. Application Domains - Characteristics and Challenges

    1. Front Matter
      Pages 11-11
    2. Stephan Diehl, Alexandru C. Telea
      Pages 13-36
    3. Chris Muelder, Liang Gou, Kwan-Liu Ma, Michelle X. Zhou
      Pages 37-59
    4. Oliver Kohlbacher, Falk Schreiber, Matthew O. Ward
      Pages 61-73
  4. Topics in Multivariate Network Research

    1. Front Matter
      Pages 75-75
    2. Johannes Pretorius, Helen C. Purchase, John T. Stasko
      Pages 77-95
    3. Michael Wybrow, Niklas Elmqvist, Jean-Daniel Fekete, Tatiana von Landesberger, Jarke J. van Wijk, Björn Zimmer
      Pages 97-125
    4. Jonathan C. Roberts, Jing Yang, Oliver Kohlbacher, Matthew O. Ward, Michelle X. Zhou
      Pages 127-150
    5. Daniel Archambault, James Abello, Jessie Kennedy, Stephen Kobourov, Kwan-Liu Ma, Silvia Miksch et al.
      Pages 151-174
    6. Falk Schreiber, Andreas Kerren, Katy Börner, Hans Hagen, Dirk Zeckzer
      Pages 175-206
    7. T. J. Jankun-Kelly, Tim Dwyer, Danny Holten, Christophe Hurter, Martin Nöllenburg, Chris Weaver et al.
      Pages 207-235
  5. Back Matter

About this book

Introduction

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.

Keywords

HCI complex networks data analysis graph drawing human computer interaction human-centered computing information visualization life sciences multivariate networks social networks software engineering visual analytics visualization application domains visualization techniques

Editors and affiliations

  • Andreas Kerren
    • 1
  • Helen C. Purchase
    • 2
  • Matthew O. Ward
    • 3
  1. 1.Faculty of Technology (FTK), Department of Computer ScienceLinnaeus UniversityVäxjöSweden
  2. 2.School of Computing ScienceUniversity of GlasgowGlasgowUK
  3. 3.Department of Computer ScienceWorcester Polytechnic InstituteWorcesterUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-06793-3
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-06792-6
  • Online ISBN 978-3-319-06793-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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