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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.
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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

Graph Drawing: Algorithms for the Visualization of Graphs

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.
Proceedings ArticleDOI

Tree-maps: a space-filling approach to the visualization of hierarchical information structures

TL;DR: The tree-map visualization technique makes 100% use of the available display space, mapping the full hierarchy onto a rectangular region in a space-filling manner, which allows very large hierarchies to be displayed in their entirety and facilitates the presentation of semantic information.
Book

Introduction to Geometry

TL;DR: In this paper, the authors describe the topology of surfaces in the Euclidean plane, including the Golden Section and Phyllotaxis, as well as the five Platonic solids.
Proceedings ArticleDOI

Cone Trees: animated 3D visualizations of hierarchical information

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.
Journal ArticleDOI

Methods for Visual Understanding of Hierarchical System Structures

TL;DR: Two kinds of new methods are developed to obtain effective representations of hierarchies automatically: theoretical and heuristic methods that determine the positions of vertices in two steps to improve the readability of drawings.