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Informatics 2016, 3(4), 17; doi:10.3390/informatics3040017

Direct Visual Editing of Node Attributes in Graphs

1
Institute of Computer Science, University of Rostock, A.-Einstein-Str. 22, Rostock D-18059, Germany
2
Fraunhofer Institute for Computer Graphics Research IGD, J.-Jungius-Str. 11, Rostock D-18059, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Kamran Sedig
Received: 15 July 2016 / Revised: 1 September 2016 / Accepted: 23 September 2016 / Published: 1 October 2016
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Abstract

There are many expressive visualization techniques for analyzing graphs. Yet, there is only little research on how existing visual representations can be employed to support data editing. An increasingly relevant task when working with graphs is the editing of node attributes. We propose an integrated visualize-and-edit approach to editing attribute values via direct interaction with the visual representation. The visualize part is based on node-link diagrams paired with attribute-dependent layouts. The edit part is as easy as moving nodes via drag-and-drop gestures. We present dedicated interaction techniques for editing quantitative as well as qualitative attribute data values. The benefit of our novel integrated approach is that one can directly edit the data while the visualization constantly provides feedback on the implications of the data modifications. Preliminary user feedback indicates that our integrated approach can be a useful complement to standard non-visual editing via external tools. View Full-Text
Keywords: graph visualization; direct manipulation; editing graph visualization; direct manipulation; editing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Eichner, C.; Gladisch, S.; Schumann, H.; Tominski, C. Direct Visual Editing of Node Attributes in Graphs. Informatics 2016, 3, 17.

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