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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Coresets for Clustering in Graphs of Bounded Treewidth
TL;DR: This work initiates the study of coresets for clustering in graph metrics, i.e., the shortest-path metric of edge-weighted graphs, and provides the first proof that the O(\log n) factor in the generic upper bound is indeed necessary, and also justifies restricting the graph topology.
Journal ArticleDOI
Improving data exploration in graphs with fuzzy logic and large-scale visualisation
TL;DR: This work presents three case-studies of how fuzzy logic can be combined with large-scale immersive visualisation to enhance the process of graph sensemaking, enabling interactive fuzzy filtering of large global views of graphs.
Journal ArticleDOI
Graphiti: Interactive Specification of Attribute-Based Edges for Network Modeling and Visualization
TL;DR: This paper proposes an alternate interaction technique to model networks that allows users to demonstrate to the system a subset of nodes and links they wish to see in the resulting network, and shows how such a demonstration-based interaction technique can be used to model Networks by employing it in a prototype tool, Graphiti.
Proceedings ArticleDOI
An open visualization toolkit for reverse architecting
TL;DR: An open architecture is presented which allows easy prototyping of RE data exploration and visualization scenarios for a large range of domain models and pays special attention to the visual and interactive requirements of the reverse engineering process.
Proceedings ArticleDOI
Wave equation based algorithm for distributed eigenvector computation
TL;DR: It is proved that, by propagating waves through the graph, a local fast Fourier transform yields the local component of every eigenvector of L, the graph Laplacian matrix L.
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.