Proceedings Article10.1109/IV.2006.130
Visualizing Graphs - A Generalized View
Hans-Jörg Schulz,Heidrun Schumann +1 more
- 05 Jul 2006
- pp 166-173
TL;DR: This paper gives a systematic view of the problem of graph visualization by combining both approaches and introduces a general view of different visualization methods as well as describe occurring problems and discuss basic constraints.
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Abstract: The visualization of graphs has proven to be very useful for exploring structures in different application domains. However, in certain fields of computer science, graph visualization is understood and focused quite differently. While "graph drawing" focuses on optimized layouts for nodelink- representations of networks, "information visualization" prefers to work on hierarchies focusing on very large structures, different views and interactivity. This paper gives a systematic view of the problem of graph visualization by combining both approaches. We will introduce a general view of different visualization methods as well as describe occurring problems and discuss basic constraints. These will be used to propose a visualization framework for graphs, whose development motivated this paper.
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Citations
An Overview of 3D Software Visualization
TL;DR: An overview of current research in the area of software visualization is presented, describing several major aspects like: visual representations, interaction issues, evaluation methods and development tools.
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Pierre Caserta,Olivier Zendra +1 more
TL;DR: This paper surveys visualization techniques, both 2D- and 3D-based, representing the static aspects of the software and its evolution, and categorizes these techniques according to the issues they focus on, in order to help compare them and identify the most relevant techniques and tools for a given problem.
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TL;DR: This state‐of‐the‐art report analyzes current practices and classify techniques along four axes: layouts, view operations, layout operations, and data operations and gives recommendations for which technique to use in which scenario.
Visualizing large graphs
TL;DR: There is a growing need for algorithms and techniques for visualizing very large and complex graphs as mentioned in this paper, and a review of layout algorithms and interactive exploration techniques for large graphs can be found in this article.
A Survey of Multi-faceted Graph Visualization
Steffen Hadlak,Heidrun Schumann,Hans-Jörg Schulz +2 more
- 01 Jan 2015
TL;DR: This report contributes a generic high-level categorization of faceted graph visualization that subsumes the existing classifications and extends beyond existing surveys by applying the same categorization to graph visualizations with multiple facets.
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References
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Ben Shneiderman
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Information visualization and visual data mining
TL;DR: This paper proposes a classification of information visualization and visual data mining techniques which is based on the data type to be visualized, the visualization technique, and the interaction and distortion technique.
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Graph Drawing: Algorithms for the Visualization of Graphs
Giuseppe Di Battista,Peter Eades,Roberto Tamassia,Ioannis G. Tollis +3 more
- 23 Jul 1998
TL;DR: In this paper, the authors describe fundamental algorithmic techniques for constructing drawings of graphs and provide an accurate, accessible reflection of the rapidly expanding field of graph drawing, using a reference manual.
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On the readability of graphs using node-link and matrix-based representations: a controlled experiment and statistical analysis
TL;DR: A taxonomy of generic graph related tasks along with a computer-based evaluation designed to assess the readability of two representations of graphs: matrix-based representations and node-link diagrams are described.
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