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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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Journal ArticleDOI

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TL;DR: Fetuccino is presented, an extension of the Mapuccino system that implements an experimental two-phase paradigm that allows the user to distinguish between a domain query and a focused query within the dynamically identified domain.
Proceedings ArticleDOI

3D interactive visualization for inter-cell dependencies of spreadsheets

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Book ChapterDOI

The Effect of Graph Layout on Inference from Social Network Data

TL;DR: It is found that the layout of a social network has a significant effect on their inferences and some initial results about the way certain Euclidean features will affect perceptions of structural features of the network are presented.
Book ChapterDOI

3D Graph Drawing with Simulated Annealing

TL;DR: This work presents a system extending the simulated annealing algorithm of Davidson and Harel for straight-line two-dimensional drawings of general undirected graphs to three dimensions and features an advanced 3D user interface that assists the user in choosing and modifying the cost function and the optimization components on-line.