Results 271 to 280 of about 267,239 (309)

Graph Signatures for Visual Analytics

IEEE Transactions on Visualization and Computer Graphics, 2006
We present a visual analytics technique to explore graphs using the concept of a data signature. A data signature, in our context, is a multidimensional vector that captures the local topology information surrounding each graph node. Signature vectors extracted from a graph are projected onto a low-dimensional scatterplot through the use of scaling ...
Pak Chung Wong, Harlan Foote, George Chin Jr., Patrick Mackey, Ken Perrine   +4 more
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Visualizing Graphs and Clusters as Maps

IEEE Computer Graphics and Applications, 2010
Information visualization is essential in making sense of large datasets. Often, high-dimensional data are visualized as a collection of points in 2D space through dimensionality reduction techniques. However, these traditional methods often don't capture the underlying structural information, clustering, and neighborhoods well.
Yifan Hu 0001, Emden R. Gansner, Stephen G. Kobourov   +2 more
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Graph Magic: A Visual Graph Package for Students

Computer Science Education, 2003
This paper presents Graph Magic, a package of Java classes that represents graphs. It is specifically designed for undergraduate students to use early in their studies. It combines graph visualization with ease of programming. It allows students to implement graph algorithms using high level, easy to understand methods. Students create graphs for their
Stuart Hansen 0001, Karen Tuinstra, Jason Pisani, Lester I. McCann   +3 more
openaire   +1 more source

Combining Timeline and Graph Visualization

Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, 2014
Timelines are as important for presenting temporal data as node-link diagrams are relevant for displaying graphs and relations in general. Yet, both are rarely combined. We present Time Shadows to precisely indicate a node's place in time, revealing associated temporal data and relations. We also introduce Time Beads.
Robert Morawa, Tom Horak, Ulrike Kister, Annett Mitschick, Raimund Dachselt   +4 more
openaire   +1 more source

Visualization of state transition graphs

IEEE Symposium on Information Visualization, 2001. INFOVIS 2001., 2005
A new method for the visualization of state transition graphs is presented. Visual information is reduced by clustering nodes, forming a tree structure of related clusters. This structure is visualized in three dimensionswith concepts from cone trees and empahsis on symmetry.
Frank van Ham, Huub van de Wetering, Jarke J. van Wijk   +2 more
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Visualizing graphs in three dimensions

ACM Transactions on Applied Perception, 2008
It has been known for some time that larger graphs can be interpreted if laid out in 3D and displayed with stereo and/or motion depth cues to support spatial perception. However, prior studies were carried out using displays that provided a level of detail far short of what the human visual system is capable of resolving.
Colin Ware, Peter Mitchell
openaire   +2 more sources

The dynamic graph wall: visualizing evolving graphs with multiple visual metaphors

Journal of Visualization, 2016
Visualizing dynamic graphs is challenging due to the many data dimensions to be displayed such as graph vertices and edges with their attached weights or attributes and the additional time dimension. Moreover, edge directions with multiplicities and the graph topology are also important inherent features.
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Visual summaries for graph collections

2013 IEEE Pacific Visualization Symposium (PacificVis), 2013
Graphs can be used to represent a variety of information, from molecular structures to biological pathways to computational workflows. With a growing volume of data represented as graphs, the problem of understanding and analyzing the variations in a collection of graphs is of increasing importance.
David Koop, Juliana Freire, Cláudio T. Silva   +2 more
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Visualization and Analysis of Web Graphs

2002
We review the progress of our research on Web Graphs. A Web Graph is a directed graph whose nodes are Web pages and whose edges are hyperlinks between pages. Many people use bookmarks and pages of links as a knowledge on internet. We developed a visualization system of Web Graphs. It is a system for construction and analysis of Web graphs.
Sachio Hirokawa, Daisuke Ikeda
openaire   +1 more source

Visual analysis of compound graphs

2016 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2016
Compound graphs consist of two separate components. On the one hand a graph structure describes which elements are related to each other and to what extent, i.e., inherent edge weights and directions may exist, which we refer to as adjacency edges.
openaire   +1 more source