A framework of filtering, clustering and dynamic layout graphs for visualization

Paper


Lai, Wei, Huang, Xiaodi and Eades, Peter. 2005. "A framework of filtering, clustering and dynamic layout graphs for visualization." Estivill-Castro, V. (ed.) ACSC 2005: 28th Australasian Computer Science Conference. Newcastle, Australia 28 Jan - 03 Feb 2005 Australia.
Paper/Presentation Title

A framework of filtering, clustering and dynamic layout graphs for visualization

Presentation TypePaper
AuthorsLai, Wei (Author), Huang, Xiaodi (Author) and Eades, Peter (Author)
EditorsEstivill-Castro, V.
Journal or Proceedings TitleACSC '05 Proceedings of the 28th Australasian conference on Computer Science
Journal Citation38, pp. 87-96
Number of Pages10
Year2005
Place of PublicationAustralia
ISBN1920682201
Web Address (URL) of Paperhttps://dl.acm.org/citation.cfm?id=1082171
Conference/EventACSC 2005: 28th Australasian Computer Science Conference
Event Details
ACSC 2005: 28th Australasian Computer Science Conference
Event Date
28 Jan 2005 to end of 03 Feb 2005
Event Location
Newcastle, Australia
Abstract

Many classical graph visualization algorithms have already been developed over the past decades. However, these algorithms face difficulties in practice, such as the overlapping node problem, large graph layout and dynamic graph layout. In order to solve these problems, this paper aims to systematically address algorithmic issues related to a novel framework that describes the process of graph visualization applications. First of all, a framework for graph visualization is described. As the important parts of this framework, we then develop two effective algorithms for filtering and clustering large graphs for the layouts. As for the dynamic graph layout, a new approach to removing overlapping nodes called force-transfer algorithm is developed. The framework has been implemented in a prototype called PGA to demonstrate the performance of the proposed algorithms. Finally, a case study is provided.

Keywordsalgorithms; nodes; layout; graphs; information visualization; graph visualization; graph drawing; framework; filtering; clustering
ANZSRC Field of Research 2020460903. Information modelling, management and ontologies
461399. Theory of computation not elsewhere classified
460207. Modelling and simulation
Public Notes

Copyright ©2005, Australian Computer Society, Inc. This
paper appeared at the 28th Australasian Computer Science
Conference, The University of Newcastle, Australia.
Conferences in Research and Practice in Information
Technology, Vol. 38. V. Estivill-Castro, Ed. Reproduction for academic, not-for profit purposes permitted provided this text is included.

Byline AffiliationsDepartment of Mathematics and Computing
National ICT, Australia
Institution of OriginUniversity of Southern Queensland
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