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Documents authored by Kerle-Malcharek, Wilhelm


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Software Abstract
Immersive Analytics of Graphs in Virtual Reality with GAV-VR (Software Abstract)

Authors: Stefan P. Feyer, Wilhelm Kerle-Malcharek, Ying Zhang, Falk Schreiber, and Karsten Klein

Published in: LIPIcs, Volume 320, 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)


Abstract
The design space for interactive graph visualisation in immersive environments creates opportunities to improve on established solutions in traditional desktop settings. Exploiting this potential requires careful analysis of achievable benefits, required tradeoffs, and disadvantages for particular designs and use-cases. GAV-VR is a modular and user-extensible framework for graph visualisation and analysis in Virtual Reality (VR). It provides the platform to easily create interactive graph visualisations, facilitating both applied graph analysis and evaluation of approaches and methods for visualisation of and interaction with graphs in VR.

Cite as

Stefan P. Feyer, Wilhelm Kerle-Malcharek, Ying Zhang, Falk Schreiber, and Karsten Klein. Immersive Analytics of Graphs in Virtual Reality with GAV-VR (Software Abstract). In 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 320, pp. 57:1-57:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{feyer_et_al:LIPIcs.GD.2024.57,
  author =	{Feyer, Stefan P. and Kerle-Malcharek, Wilhelm and Zhang, Ying and Schreiber, Falk and Klein, Karsten},
  title =	{{Immersive Analytics of Graphs in Virtual Reality with GAV-VR}},
  booktitle =	{32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)},
  pages =	{57:1--57:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-343-0},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{320},
  editor =	{Felsner, Stefan and Klein, Karsten},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2024.57},
  URN =		{urn:nbn:de:0030-drops-213413},
  doi =		{10.4230/LIPIcs.GD.2024.57},
  annote =	{Keywords: Networks, Immersive Analytics, Software}
}
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