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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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Ontology visualization methods and tools: a survey of the state of the art

TL;DR: This paper follows up on previous surveys with an updated classification of ontology visualization methods and a comprehensive survey of available tools, showing that most of the tools apply two-dimensional node-link visualizations with a focus on class hierarchies.
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Ontology-Enhanced User Interfaces: A Survey

TL;DR: A state of the art survey of approaches is presented along with promising research directions and a schema for characterizing the requirements of ontology-enhanced user interfaces is introduced.

A Survey of Multi-faceted Graph Visualization

TL;DR: This report contributes a generic high-level categorization of faceted graph visualization that subsumes the existing classifications and extends beyond existing surveys by applying the same categorization to graph visualizations with multiple facets.
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Visual inspection of multivariate graphs

TL;DR: This work presents a technique to enable users to detect relations and patterns in terms of data associated with nodes and edges, where this data plays a more central role.
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Evaluation of Filesystem Provenance Visualization Tools

TL;DR: One of the first cases of gender differences in visualization; both genders had comparable performance with InProv, but women had a significantly lower average accuracy compared to men with Orbiter, and the new time-based hierarchical node grouping method improves performance in both tools.
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.
Journal ArticleDOI

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.