Information
- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: December 2019
- Booktitle: 2nd International Conference on Artificial Intelligence & Virtual Reality
- Call for Papers: Call for Paper
- Event: AIVR 2019
- Lecturer: Johannes Sorger
- Location: San Diego, California, USA
- Open Access: yes
- Organization: IEEE
- Pages (from): 144
- Pages (to): 151
- Keywords: Immersive Network Analytics, Web-Based Visualization, Dynamic Graph Visualization
Abstract
Analysis of large dynamic networks is a thriving research field, typically relying on 2D graph representations. The advent of affordable head mounted displays sparked new interest in the potential of 3D visualization for immersive network analytics. Nevertheless, most solutions do not scale well with the number of nodes and edges and rely on conventional fly- or walk-through navigation. In this paper, we present a novel approach for the exploration of large dynamic graphs in virtual reality that interweaves two navigation metaphors: overview exploration and immersive detail analysis. We thereby use the potential of state-of-the-art VR headsets, coupled with a web-based 3D rendering engine that supports heterogeneous input modalities to enable ad-hoc immersive network analytics. We validate our approach through a performance evaluation and a case study with experts analyzing medical data.
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BibTeX
@inproceedings{sorger-2019-odn,
title = "Immersive Analytics of Large Dynamic Networks via Overview
and Detail Navigation",
author = "Johannes Sorger and Manuela Waldner and Wolfgang Knecht and
Alessio Arleo",
year = "2019",
abstract = "Analysis of large dynamic networks is a thriving research
field, typically relying on 2D graph representations. The
advent of affordable head mounted displays sparked new
interest in the potential of 3D visualization for immersive
network analytics. Nevertheless, most solutions do not scale
well with the number of nodes and edges and rely on
conventional fly- or walk-through navigation. In this paper,
we present a novel approach for the exploration of large
dynamic graphs in virtual reality that interweaves two
navigation metaphors: overview exploration and immersive
detail analysis. We thereby use the potential of
state-of-the-art VR headsets, coupled with a web-based 3D
rendering engine that supports heterogeneous input
modalities to enable ad-hoc immersive network analytics. We
validate our approach through a performance evaluation and a
case study with experts analyzing medical data.",
month = dec,
booktitle = "2nd International Conference on Artificial Intelligence &
Virtual Reality",
event = "AIVR 2019",
location = "San Diego, California, USA",
organization = "IEEE",
pages = "144--151",
keywords = "Immersive Network Analytics, Web-Based Visualization,
Dynamic Graph Visualization",
URL = "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/",
}