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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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TL;DR: A matrix-based visualization technique for exploring time-varying directed and weighted graphs and can also compute graph-specific properties---such as shortest paths or the existence of cliques---and highlight their evolution over time.
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Visualizing Network Security Events Using Compound Glyphs from a Service-Oriented Perspective

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Introdução à visualização de informações

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Readability metric feedback for aiding node-link visualization designers

TL;DR: This work detail new global readability metrics on a "0,1] continuous scale for node-node overlap, edge crossing angle, angular resolution, group overlap, and visualization coverage, and describes the trade-offs inherent in optimizing individual metrics as well as recommend metric optimizations for particular tasks.
References
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Book

Cluster Analysis

TL;DR: This fourth edition of the highly successful Cluster Analysis represents a thorough revision of the third edition and covers new and developing areas such as classification likelihood and neural networks for clustering.
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Graph drawing by force-directed placement

TL;DR: A modification of the spring‐embedder model of Eades for drawing undirected graphs with straight edges is presented, developed in analogy to forces in natural systems, for a simple, elegant, conceptually‐intuitive, and efficient algorithm.
Book

Information Visualization: Perception for Design

TL;DR: The art and science of why the authors see objects the way they do are explored, and the author presents the key principles at work for a wide range of applications--resulting in visualization of improved clarity, utility, and persuasiveness.
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Generalized fisheye views

TL;DR: This paper explores fisheye views presenting, in turn, naturalistic studies, a general formalism, a specific instantiation, a resulting computer program, example displays and an evaluation.