Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: December 2019
• Organization: IEEE
• Open Access: yes
• Location: San Diego, California, USA
• Lecturer: Johannes Sorger
• Event: AIVR 2019
• Call for Papers: Call for Paper
• Booktitle: 2nd International Conference on Artificial Intelligence & Virtual Reality
• Pages: 144 – 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.

Additional Files and Images

Weblinks

• arxiv preprint
• IEEE AIVR 2019
• Entry in the publication database of TU-Wien

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,
  organization = "IEEE",
  location =   "San Diego, California, USA",
  event =      "AIVR 2019",
  booktitle =  "2nd International Conference on Artificial Intelligence &
               Virtual Reality",
  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/",
}