Results 71 to 80 of about 1,339 (113)

Visualization of Trustworthiness Graphs

Proceedings of the 24th International Conference on World Wide Web, 2015
Trustworthiness is a field of research that seeks to estimate the credibility of information by using knowledge of the source of the information. The most interesting form of this problem is when different pieces of information share sources, and when there is conflicting information from different sources.
Stephen Mayhew 0001, Dan Roth 0001
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Visual Graph Comparison

2009 13th International Conference Information Visualisation, 2009
Researchers and analysts in many fields are sometimes confronted with the task of comparing and contrasting two similar but different graphs or networks. This paper presents a technique and prototype tool to support the visual comparison of graphs and the interactive reconciliation of candidate graphs into a single reference graph.
Keith Andrews, Martin Wohlfahrt, Gerhard Wurzinger   +2 more
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Visualizing call graphs

2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2011
Developers navigate and reason about call graphs throughout investigation and debugging activities. This is often difficult: developers can spend tens of minutes answering a single question, get lost and disoriented, and erroneously make assumptions, causing bugs. To address these problems, we designed a new form of interactive call graph visualization
Thomas D. LaToza, Brad A. Myers
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Visual Inspection of Multivariate Graphs

Computer Graphics Forum, 2008
AbstractMost graph visualization techniques focus on the structure of graphs and do not offer support for dealing with node attributes and edge labels. To enable users to detect relations and patterns in terms of data associated with nodes and edges, we present a technique where this data plays a more central role.
Pretorius, A.J., Wijk, van, J.J.
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Graph Visualization For Geography

2013
Network analysis is usually performed with combinatorial measures such as those presented in Chap. 5 or traditional statistical tools such as principal component analysis. However, it is extremely difficult for some patterns, even with these powerful approaches, and the results of these methods can be difficult to interpret without an appropriate ...
Lambert, Antoine, Bourqui, Romain, Auber, David   +2 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 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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Visual-Semantic Graph Matching for Visual Grounding

Proceedings of the 28th ACM International Conference on Multimedia, 2020
Visual Grounding is the task of associating entities in a natural language sentence with objects in an image. In this paper, we formulate visual grounding as a graph matching problem to find node correspondences between a visual scene graph and a language scene graph.
Chenchen Jing, Yuwei Wu 0001, Mingtao Pei, Yao Hu, Yunde Jia, Qi Wu 0001   +5 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
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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
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