Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data

By Danny Holten. IEEE Transactions on Visualization and Computer Graphics, 2006

1,150 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Sociology and Political Science, Signal Processing

View Paper: https://www.semanticscholar.org/paper/e6987da6dc412f22ca5dd62da2affdcdd8e51d8e

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Citations in the corpus

Recommendation Systems in Software Engineering (2014, background): “Just as recommendation systems for popular e-commerce Web sites can help expose users to interesting items previously unknown to them [15], recommendation systems can be used in technical domains to help surface previously unknown information that can directly assist knowledge workers in their task.”
A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges (2013, methodology): “Hierarchical edge bundling([102]) takes advantage of the hierarchy information in compound graphs to bundle edges of the graphs.”
NodeTrix: a Hybrid Visualization of Social Networks (2007, methodology): “Holten proposed the Hierarchical Edge Bundles technique [ 19 ] to improve the readability of hierarchical graphs; it can also be applied to clustered graphs.”
Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines (2010, methodology): “As for the technical challenges of large-scale datasets, Fekete and Plaisant [33] show how to overcome them for datasets on the order of 10 6 items using scatterplots and treemaps.”
Force‐Directed Edge Bundling for Graph Visualization (2009, methodology): “Hierarchical Edge Bundling (HEB) bundles edges together by bending each edge, modeled as a B-spline curve, toward the polyline path defined by the available hierarchy [Hol06].”
Geometry-Based Edge Clustering for Graph Visualization (2008, methodology): “11a shows a layout which is also used in [12].”
Hierarchical block structures and high-resolution model selection in large networks (2013, neutral): “Right: The same network, using a circular layout, with edge bundling following the inferred hierarchy [68] (indicated also by the square nodes, and the node colors).”
egoSlider: Visual Analysis of Egocentric Network Evolution (2016, methodology): “This problem can be solved partially by applying edge bundling techniques [35].”
An Interactive Node-Link Visualization of Convolutional Neural Networks (2015, background): “For example, it is sometimes possible to reveal a great deal of information about a set of connected nodes by bundling related edges together [14].”
Visual comparison for information visualization (2011, background): “While visualization has traditionally focused on tools for examining individual objects, the past few years have seen an increasing number of systems explicitly designed to address comparison tasks.”