Journal ArticleDOI
Graph visualization and navigation in information visualization: A survey
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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.Citations
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Making data visualization more efficient and effective: a survey
TL;DR: Techniques that make data visualization more efficient and effective are surveyed, which include auto-complete an incomplete specification, to discover more interesting visualizations based on a reference visualization.
Proceedings ArticleDOI
Visual unrolling of network evolution and the analysis of dynamic discourse
Ulrik Brandes,Steven R. Corman +1 more
TL;DR: A new method for visualizing the class of incrementally evolving networks that focuses on discourse networks as the driving application, but extends to any type of network evolving in similar ways.
Proceedings Article
MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis.
TL;DR: A hybrid approach that leverages two complementary disciplines, data mining and information visualization, is presented that proposes an analytic data model for content-based networks using tensors, an efficient high-order clustering framework for analyzing the data, and a scalable context-sensitive graph visualization to present the clusters.
Proceedings ArticleDOI
Preserving the mental map using foresighted layout
TL;DR: This work introduces the concept of graph animations as a sequence of evolving graphs and a generic algorithm which computes a Foresighted Layout for dynamically drawing these graphs while preserving the mental map.
Proceedings ArticleDOI
How do visual explanations foster end users' appropriate trust in machine learning?
TL;DR: The results show that each explanation improved users' trust in the classifier, and the combination of explanation, human, and classification algorithm yielded much better decisions than the human and classification algorithms separately.
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.
Journal ArticleDOI
An algorithm for drawing general undirected graphs
Tomihisa Kamada,Satoru Kawai +1 more
Journal ArticleDOI
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.