On the Structural Algorithm of Filtering Graphs for Layout.

Xiaodi Huang, Wei Lai

Research output: Book chapter/Published conference paperConference paperpeer-review


When the amount of information in visualization becomes large enough, users can not perceive all elements at the same time. This problem can be solved by removing parts of the information through the process of Filtering. In this paper, we present a novel method for filtering a graph by measuring the important role property of a node. The basic idea of this approach is to quantify the importance of a node as the degree to which it has direct and indirect relationships with the other nodes in a graph. All the nodes are ranked according to their Node Importance Scores, and those less important nodes and their associated edges are then removed or invisible. In comparison with the rule_based approach, our approach is a structure_based one that makes use of the linkage of nodes rather than their semantics. It can therefore be applied to filter any kinds of connected graphs. The examples and applications provided have demonstrated that our approach can effectively reduce the visual complexities.
Original languageEnglish
Title of host publicationVisual Information Processing 2003, Proceedings of the Pan-Sydney Area Workshop on Visual Information Processing, VIP2003 2004
Place of PublicationAustralia
PublisherAustralian Computer Society Inc
Number of pages10
ISBN (Electronic)192068218X
Publication statusPublished - 2003
EventPan-Sydney Area Workshop on Visual Information Processing - Sydney, Australia, Sydney, Australia
Duration: 31 Oct 200302 Nov 2003


WorkshopPan-Sydney Area Workshop on Visual Information Processing


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