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Journal ArticleDOI

Graph visualization and navigation in information visualization: A survey

Ivan Herman, +2 more
- 01 Jan 2000 - 
- Vol. 6, Iss: 1, pp 24-43
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TLDR
This is a survey on graph visualization and navigation techniques, as used in information visualization, which approaches the results of traditional graph drawing from a different perspective.
Abstract
This is a survey on graph visualization and navigation techniques, as used in information visualization. Graphs appear in numerous applications such as Web browsing, state-transition diagrams, and data structures. The ability to visualize and to navigate in these potentially large, abstract graphs is often a crucial part of an application. Information visualization has specific requirements, which means that this survey approaches the results of traditional graph drawing from a different perspective.

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Citations
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Journal ArticleDOI

Graph embedding techniques, applications, and performance: A survey

TL;DR: A comprehensive and structured analysis of various graph embedding techniques proposed in the literature, and the open-source Python library, named GEM (Graph Embedding Methods, available at https://github.com/palash1992/GEM ), which provides all presented algorithms within a unified interface to foster and facilitate research on the topic.
Journal ArticleDOI

Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data

TL;DR: 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.
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A Survey on Network Embedding

TL;DR: Network embedding assigns nodes in a network to low-dimensional representations and effectively preserves the network structure as discussed by the authors, and a significant amount of progress has been made toward this emerging network analysis paradigm.
Journal ArticleDOI

Comorbidity: a network perspective.

TL;DR: A method to visualize comorbidity networks is proposed and it is argued that this approach generates realistic hypotheses about pathways to comor bidity, overlapping symptoms, and diagnostic boundaries, that are not naturally accommodated by latent variable models.
References
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Book

Graphs, Networks and Algorithms

TL;DR: This book presents a meta-analsis of the network simplex algorithm and a section on the five color theorem, which states that the color theorem can be rewritten as a graph representation of a network.
Journal ArticleDOI

Information visualization using 3D interactive animation

TL;DR: An experimental system, the Information Visualizer, is presented, which explores a UI paradigm that goes beyond the desktop metaphor to exploit the emerging generation of graphical personal computers and to support the emerging application demand to retrieve, store, manipulate, and understand large amounts of infromation.
Journal ArticleDOI

A review and taxonomy of distortion-oriented presentation techniques

TL;DR: This article provides a taxonomy of distortion-oriented techniques which demonstrates clearly their underlying relationships and a unified theory is presented to reveal their roots and origins.
Book

Mathematical Classification and Clustering

Boris Mirkin
TL;DR: This paper presents a meta-analyses of Hierarchy as a Clustering Structure, a model for hierarchical clustering based on the model developed in [Bouchut-Boyaval, M3].
Journal ArticleDOI

Crossing Number is NP-Complete

TL;DR: This paper shows that there is not likely to be any efficient way to design an optimal embedding of a graph or network in a planar surface, and hence this problem is NP-complete.