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IEEE Computer Graphics and Applications
Article . 2002 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2024
Data sources: DBLP
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Graph visualization toolkits

Authors: Ugur Dogrusöz; Qing-Wen Feng; Brendan Madden; Michael Doorley; Arne Frick;

Graph visualization toolkits

Abstract

The authors have created two toolkits that allow developers to easily integrate graph visualization capabilities into custom software applications. The Graph Layout Toolkit (GLT) provides interfaces for modeling, drawing, and automatically laying out graphs. The Graph Editing Toolkit (GET) provides a customizable display and editing layer, which facilitates rapidly developing tools that visualize data in the form of graphs. The authors present an architectural overview of these tools and discuss the challenges encountered during implementation and integration of theory and research results into such tools, In particular, they discuss automatic graph layout and labeling algorithms and complexity management techniques. In addition, they present examples of applications using these tools.

Country
Turkey
Related Organizations
Keywords

Computational Complexity, Graph layout toolkit, Graph Layout Toolkit, Batch layout generator, Graphical user interfaces, Computer Programming, Graph Application Programming Interface, Computer programming, Graph Editing Toolkit, Computer graphics, Graph editing toolkit, Graph application programming interface, Computer Graphics, Computer Workstations, Graphical User Interfaces, Database Systems, Visualization, Computer aided software engineering, Computer workstations, Semantics, Computational complexity, Visualization, Batch Layout Generator, Database systems, Batch Layout Generator, Computer Aided Software Engineering

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Average
Green
bronze