#4476. Dynamic graph exploration by interactively linked node-link diagrams and matrix visualizations

August 2026publication date
Proposal available till 15-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Visual Arts and Performing Arts;
Computer Science (miscellaneous);
Computer Graphics and Computer-Aided Design;
Medicine (miscellaneous);
Computer Vision and Pattern Recognition;
Software;
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Abstract:
The visualization of dynamic graphs is a challenging task owing to the various properties of the underlying relational data and the additional time-varying property. Because graphs can contain both properties, being globally sparse and locally dense, a combination of several visual metaphors as well as static and dynamic visualizations is beneficial. In this paper, a visually and algorithmically scalable approach that provides views and perspectives on graphs as interactively linked node-link and adjacency matrix visualizations is described. Moreover, the importance of nodes and node groups can be detected, computed, and visualized by considering several layout and reordering properties in combination as well as different edge properties for the same set of nodes. Finally, a small user experiment was conducted to investigate the usability of the proposed approach. The usefulness of the proposed tool is illustrated by applying it to a graph dataset, such as e co-authorships, co-citations, and a Comprehensible Perl Archive Network distribution.
Keywords:
Adjacency matrices; Dynamic graph visualization; Layouts; Node-link diagrams; Reorderings

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