Direct Visual Editing of Node Attributes in Graphs

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 integrat...

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Bibliographic Details
Main Authors: Christian Eichner, Stefan Gladisch, Heidrun Schumann, Christian Tominski
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Informatics
Subjects:
Online Access:http://www.mdpi.com/2227-9709/3/4/17
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spelling doaj-124ee29caf874438a9b09e708859c7fb2020-11-24T23:09:48ZengMDPI AGInformatics2227-97092016-10-01341710.3390/informatics3040017informatics3040017Direct Visual Editing of Node Attributes in GraphsChristian Eichner0Stefan Gladisch1Heidrun Schumann2Christian Tominski3Institute of Computer Science, University of Rostock, A.-Einstein-Str. 22, Rostock D-18059, GermanyFraunhofer Institute for Computer Graphics Research IGD, J.-Jungius-Str. 11, Rostock D-18059, GermanyInstitute of Computer Science, University of Rostock, A.-Einstein-Str. 22, Rostock D-18059, GermanyInstitute of Computer Science, University of Rostock, A.-Einstein-Str. 22, Rostock D-18059, GermanyThere 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.http://www.mdpi.com/2227-9709/3/4/17graph visualizationdirect manipulationediting
collection DOAJ
language English
format Article
sources DOAJ
author Christian Eichner
Stefan Gladisch
Heidrun Schumann
Christian Tominski
spellingShingle Christian Eichner
Stefan Gladisch
Heidrun Schumann
Christian Tominski
Direct Visual Editing of Node Attributes in Graphs
Informatics
graph visualization
direct manipulation
editing
author_facet Christian Eichner
Stefan Gladisch
Heidrun Schumann
Christian Tominski
author_sort Christian Eichner
title Direct Visual Editing of Node Attributes in Graphs
title_short Direct Visual Editing of Node Attributes in Graphs
title_full Direct Visual Editing of Node Attributes in Graphs
title_fullStr Direct Visual Editing of Node Attributes in Graphs
title_full_unstemmed Direct Visual Editing of Node Attributes in Graphs
title_sort direct visual editing of node attributes in graphs
publisher MDPI AG
series Informatics
issn 2227-9709
publishDate 2016-10-01
description 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.
topic graph visualization
direct manipulation
editing
url http://www.mdpi.com/2227-9709/3/4/17
work_keys_str_mv AT christianeichner directvisualeditingofnodeattributesingraphs
AT stefangladisch directvisualeditingofnodeattributesingraphs
AT heidrunschumann directvisualeditingofnodeattributesingraphs
AT christiantominski directvisualeditingofnodeattributesingraphs
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