Abstract
We present a comprehensive framework for development of complexity management techniques in graph visualization tools. The presented architecture is capable of managing multiple associated graphs with navigation links and nesting of graphs as well as ghosting, folding and hiding of unwanted graph elements. The theoretical analyses show that the involved data structures and algorithms are quite effcient, and an implementation in a graph drawing tool has proven to be successful.
Our architecture is based on dynamic interactive compound graphs. The definition of compound graphs is extended to efficiently handle the graph editing and complexity management operations. A navigation forest is used to keep track of navigational links among nodes and graphs, and a nesting forest is used to keep track of nesting (inclusion) relations.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dogrusoz, U., Genc, B. (2002). A Framework for Complexity Management in Graph Visualization. In: Goodrich, M.T., Kobourov, S.G. (eds) Graph Drawing. GD 2002. Lecture Notes in Computer Science, vol 2528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36151-0_37
Download citation
DOI: https://doi.org/10.1007/3-540-36151-0_37
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00158-4
Online ISBN: 978-3-540-36151-0
eBook Packages: Springer Book Archive