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dynamic graph exploration by interactively linked node-link diagrams and matrix visualizations

Visual Computing for Industry,Biomedicine,and Art 2021年第1期4卷 219-232页

作者： Michael Burch Kiet Bennema ten Brinke Adrien Castella Ghassen Karray Sebastiaan Peters Vasil Shteriyanov Rinse Vlasvinkel Eindhoven University of Technology 5600MB EindhovenThe Netherlands

The visualization of dynamic graphs is a challenging task owing to the various properties of the underlying relational data and the additional time-varying *** sparse and small graphs,the most efficient approach to such visualization is node-link diagrams,whereas for dense graphs with attached data,adjacency matrices might be the better *** 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 *** 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 *** the novelty of this technique,insights such as clusters or anomalies from one or several combined views can be used to influence the layout or reordering of the other ***,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 *** an additional feature set,an automatic identification of groups,clusters,and outliers is provided over time,and based on the visual outcome of the node-link and matrix visualizations,the repertoire of the supported layout and matrix reordering techniques is extended,and more interaction techniques are provided when considering the dynamics of the graph ***,a small user experiment was conducted to investigate the usability of the proposed *** 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.

关键词： dynamic graph visualization Node-link diagrams Adjacency matrices Layouts Reorderings

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