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Visualization of Graph Products
IEEE Transactions on Visualization and Computer Graphics, 2010 Graphs are a versatile structure and abstraction for binary relationships between objects. To gain insight into such relationships, their corresponding graph can be visualized. In the past, many classes of graphs have been defined, e.g. trees, planar graphs, directed acyclic graphs, and visualization algorithms were proposed for these classes. Although
Stefan Jänicke +4 more
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Graph visualization and navigation in information visualization: A survey
IEEE Transactions on Visualization and Computer Graphics, 2000This 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.
Guy Melancon
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Visualization of Trustworthiness Graphs
Proceedings of the 24th International Conference on World Wide Web, 2015Trustworthiness 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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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 +2 more
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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 +2 more
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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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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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Graph Visualization and Data Mining
, 2006 Graph Visualization, also known as Graph Drawing, is an emerging discipline that addresses the problem of conveying the structure of data space and of producing new knowledge of it by using diagrams.
Giuseppe Liotta, Walter Dídimo
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Graph Signatures for Visual Analytics
IEEE Transactions on Visualization and Computer Graphics, 2006We 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 +4 more
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Visual Inspection of Multivariate Graphs
Computer Graphics Forum, 2008AbstractMost 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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Visualizing Graphs and Clusters as Maps
IEEE Computer Graphics and Applications, 2010Information 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 +2 more
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Graph Magic: A Visual Graph Package for Students
Computer Science Education, 2003This 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 +3 more
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