License: Creative Commons Attribution-NoDerivs 3.0 Unported license (CC BY-ND 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.VLUDS.2011.151
URN: urn:nbn:de:0030-drops-37484
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2012/3748/
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Tarawaneh, Raga'ad M. ; Keller, Patric ; Ebert, Achim

A General Introduction To Graph Visualization Techniques

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Abstract

Generally, a graph is an abstract data type used to represent relations among a given set of data entities. Graphs are used in numerous applications within the field of information visualization, such as VLSI (circuit schematics), state-transition diagrams, and social networks. The size and complexity of graphs easily reach dimensions at which the task of exploring and navigating gets crucial. Moreover, additional requirements have to be met in order to provide proper visualizations. In this context, many techniques already have been introduced. This survey aims to provide an introduction on graph visualization techniques helping the reader to gain a first insight into the most fundamental techniques. Furthermore, a brief introduction about navigation and interaction tools is provided.

BibTeX - Entry

@InProceedings{tarawaneh_et_al:OASIcs:2012:3748,
  author =	{Raga'ad M. Tarawaneh and Patric Keller and Achim Ebert},
  title =	{{A General Introduction To Graph Visualization Techniques}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{151--164},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Christoph Garth and Ariane Middel and Hans Hagen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2012/3748},
  URN =		{urn:nbn:de:0030-drops-37484},
  doi =		{10.4230/OASIcs.VLUDS.2011.151},
  annote =	{Keywords: Graph Visualization, Layout Algorithms, Graph Drawing, Interaction Techniques}
}

Keywords: Graph Visualization, Layout Algorithms, Graph Drawing, Interaction Techniques
Collection: Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011
Issue Date: 2012
Date of publication: 16.10.2012

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