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Journal ArticleDOI

Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data

Danny Holten
- 01 Sep 2006 - 
- Vol. 12, Iss: 5, pp 741-748
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TLDR
This paper presents a new method for visualizing compound graphs based on visually bundling the adjacency edges, i.e., non-hierarchical edges, together and discusses the results based on an informal evaluation provided by potential users of such visualizations.
Abstract
A compound graph is a frequently encountered type of data set. Relations are given between items, and a hierarchy is defined on the items as well. We present a new method for visualizing such compound graphs. Our approach is based on visually bundling the adjacency edges, i.e., non-hierarchical edges, together. We realize this as follows. We assume that the hierarchy is shown via a standard tree visualization method. Next, we bend each adjacency edge, modeled as a B-spline curve, toward the polyline defined by the path via the inclusion edges from one node to another. This hierarchical bundling reduces visual clutter and also visualizes implicit adjacency edges between parent nodes that are the result of explicit adjacency edges between their respective child nodes. Furthermore, hierarchical edge bundling is a generic method which can be used in conjunction with existing tree visualization techniques. We illustrate our technique by providing example visualizations and discuss the results based on an informal evaluation provided by potential users of such visualizations

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Citations
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Force-directed edge bundling for graph visualization

TL;DR: This work presents a new edge bundling method that uses a self‐organizing approach to bundling in which edges are modeled as flexible springs that can attract each other, in contrast to previous methods, which require the graph to contain a hierarchy for this.
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NodeTrix: a Hybrid Visualization of Social Networks

TL;DR: NodeTrix is presented, a hybrid representation for networks that combines the advantages of two traditional representations: node-link diagrams are used to show the global structure of a network, while arbitrary portions of the network can be shown as adjacency matrices to better support the analysis of communities.
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Visual comparison for information visualization

TL;DR: This paper proposes a general taxonomy of visual designs for comparison that groups designs into three basic categories, which can be combined, and provides a survey of work in information visualization related to comparison.
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Visual analysis of large graphs : state-of-the-art and future research challenges

TL;DR: This State‐of‐the‐Art Report surveys available techniques for the visual analysis of large graphs and discusses various graph algorithmic aspects useful for the different stages of the visual graph analysis process.
Journal ArticleDOI

Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines

TL;DR: A model for building, visualizing, and interacting with multiscale representations of information visualization techniques using hierarchical aggregation is presented to make visual representations more visually scalable and less cluttered.
References
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Proceedings ArticleDOI

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TL;DR: This work describes one of these Information Visualtzaiion techniques, called the Cone Tree, which is used for visualizing hierarchical information structures, where the hierarchy is presented in 3D to make effective use of available screen space and enable visualization of the whole structure.
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