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Visual Analysis of Large Graphs: State-of-the-Art and Future Research Challenges

Landesberger, Tatiana von and Kuijper, Arjan and Schreck, Tobias and Kohlhammer, Jörn and van Wijk, Jarke and Fekete, Jean-Daniel and Fellner, Dieter W. (2011):
Visual Analysis of Large Graphs: State-of-the-Art and Future Research Challenges.
In: Computer Graphics Forum, pp. 1719-1749, 30, (6), DOI: 10.1111/j.1467-8659.2011.01898.x, [Article]

Abstract

The analysis of large graphs plays a prominent role in various fields of research and is relevant in many important application areas. Effective visual analysis of graphs requires appropriate visual presentations in combination with respective user interaction facilities and algorithmic graph analysis methods. How to design appropriate graph analysis systems depends on many factors, including the type of graph describing the data, the analytical task at hand and the applicability of graph analysis methods. The most recent surveys of graph visualization and navigation techniques cover techniques that had been introduced until 2000 or concentrate only on graph layouts published until 2002. Recently, new techniques have been developed covering a broader range of graph types, such as timevarying graphs. Also, in accordance with ever growing amounts of graph-structured data becoming available, the inclusion of algorithmic graph analysis and interaction techniques becomes increasingly important. In this State-of-the-Art Report, we survey available techniques for the visual analysis of large graphs. Our review first considers graph visualization techniques according to the type of graphs supported. The visualization techniques form the basis for the presentation of interaction approaches suitable for visual graph exploration. As an important component of visual graph analysis, we discuss various graph algorithmic aspects useful for the different stages of the visual graph analysis process. We also present main open research challenges in this field.

Item Type: Article
Erschienen: 2011
Creators: Landesberger, Tatiana von and Kuijper, Arjan and Schreck, Tobias and Kohlhammer, Jörn and van Wijk, Jarke and Fekete, Jean-Daniel and Fellner, Dieter W.
Title: Visual Analysis of Large Graphs: State-of-the-Art and Future Research Challenges
Language: English
Abstract:

The analysis of large graphs plays a prominent role in various fields of research and is relevant in many important application areas. Effective visual analysis of graphs requires appropriate visual presentations in combination with respective user interaction facilities and algorithmic graph analysis methods. How to design appropriate graph analysis systems depends on many factors, including the type of graph describing the data, the analytical task at hand and the applicability of graph analysis methods. The most recent surveys of graph visualization and navigation techniques cover techniques that had been introduced until 2000 or concentrate only on graph layouts published until 2002. Recently, new techniques have been developed covering a broader range of graph types, such as timevarying graphs. Also, in accordance with ever growing amounts of graph-structured data becoming available, the inclusion of algorithmic graph analysis and interaction techniques becomes increasingly important. In this State-of-the-Art Report, we survey available techniques for the visual analysis of large graphs. Our review first considers graph visualization techniques according to the type of graphs supported. The visualization techniques form the basis for the presentation of interaction approaches suitable for visual graph exploration. As an important component of visual graph analysis, we discuss various graph algorithmic aspects useful for the different stages of the visual graph analysis process. We also present main open research challenges in this field.

Journal or Publication Title: Computer Graphics Forum
Volume: 30
Number: 6
Uncontrolled Keywords: Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Forschungsgruppe Visual Search and Analysis (VISA), Business Field: Visual decision support, Research Area: Generalized digital documents, Graph visualization, Graphics interaction, Visual analytics, Visual graph analysis
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1111/j.1467-8659.2011.01898.x
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