Our society has entered a data-driven era, in which not only enormous amounts of data are being generated every day, but also growing expectations are placed on their analysis. Analyzing these massive and complex datasets is a difficult task which is even more challenging with network data.

Network data are intrinsically relational data between entities with or without a spatial mapping. Exploring such data is already challenging with small dataset and becomes even far harder with complex dense graphs often called “hair balls”. Information Visualization provides the research background to support such data exploration and is an active research area. Furthermore, emerging technology like immersive and mixed realty environment opens new promising opportunities to leverage user ability to support decision making with complex data.

Submission Guidelines

As a follow-up of the Shonan Meeting on “Immersive Analytics for Network and Trail Sets Data Analysis”  (https://shonan.nii.ac.jp/seminars/131/), we seek for contributions to a special issue of the Visual Informatics journal (https://www.journals.elsevier.com/visual-informatics).

Papers must provide original contributions to the emerging Immersive Analytics fields which encompasses but not limited to the following topics:

• immersive data visualization,
• complex/large data visualization and understanding,
• network layout for immersive visualization,
• immersive prototyping techniques,
• immersive analytics interaction tools,
• evaluation, 2D vs 3D perception,
• hybrid environment for immersive analytics,
• immersive analytics framework,
• immersive analytics use cases.

Papers should be 8 to 10 pages including references. More instructions for Visual Informatics Elsevier:

https://www.elsevier.com/journals/visual-informatics/2468-502x/guide-for-authors

Latex template here:

https://www.elsevier.com/authors/author-schemas/latex-instructions

Make sure you use the double column template.
    
Please submit the abstract and the full paper using the following link:

https://easychair.org/cfp/ia2020

Committees

Program Committee

• David Auber, Inria, Bordeaux, France
• Benjamin Bach, University of Edinburgh, Netherlands
• David  Brown, Microsoft Research, USA
• Maxime Cordeil, Monash University, Australia
• Andrew Cunningham, University of South Australia
• Tobias Czauderna, Monash University, Australia
• Steven Drucker, Microsoft Research, USA
• Tim Dwyer, Monash University, Australia
• Peter Eades, Sydney University, Australia
• Barrett Ens, Monash University, Autralia
• Nathalie Henry-Riche, Microsoft Research, USA
• Christophe Hurter, ENAC University of Toulouse, France
• Seokhee Hong, School of Information Technologies, Australia
• Hiroshi Hosobe, Hosei University, Japan
• Pourang Irani, University of Manutoba, Canada
• Masahiko Itoh, The University of Tokyo, Japan
• Takyuki Ito, Ochanomizu University, Japan
• Karsten Klein, University Konstanz, Germany
• Stephen Kobourov, University of Arizona, USA
• Oh-Hyun Kwon, UC Davis, USA
• Bongshin Lee, Microsoft Research, USA
• Patric Ljung, Linköping University, Sweden
• Kwan-Liu Ma, UC Davis, USA
• Wouter Meulemans, Eindhoven University, Netherlands
• Arnaud Prouzeau, Monash University, Australia
• Bettina Speckmann, B, Eindhoven University, Netherlands
• Oliver Staadt, Stuttgart, Germany
• Romain Vuillemot;Ecole Centrale Lyon, France
• Ken Wakita, Tokyo Institute of Technology, Japan

Organizing committee

• Christophe Hurter, ENAC, France
• Maxime Cordeil, Monash University, Australia
• Takayuki Itoh, Ochanomizu University, Japan
• Kwan-Liu Ma, UC Davis, USA
• Tim Dwyer, Monash University, Australia

Contact