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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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Proceedings ArticleDOI

Nonlinear magnification fields

TL;DR: Nonlinear magnification fields are introduced as an abstract representation of nonlinear magnification, providing methods for converting transformation routines to magnification fields and vice-versa and allowing intrinsic properties of the data being visualized to create data-driven magnifications.
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How to draw a directed graph

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LyberWorld—a visualization user interface supporting fulltext retrieval

TL;DR: A model for visualizations of an abstract information space — fulltext is derived and an exemplar user interface design is implemented for the probabilistic fulltext retrieval system INQUERY.
Journal ArticleDOI

A node-positioning algorithm for general trees

TL;DR: The algorithm described in this paper is concerned with the first stage: given a list of nodes, an indication of the hierarchical relationship among them, and their shape and size, where should each node be positioned for optimal aesthetic effect?
Journal ArticleDOI

NicheWorks—Interactive Visualization of Very Large Graphs

TL;DR: A tool that addresses the needs of large real-life networks and graph structure and node and edge attributes, and describes and comment on the available layout algorithms and the linked views int...