Interactive structural clustering of graphs based on multi-representations

B. Gaudin, A. J. Quigley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper investigates the use of a multi-representation of a same graph in order to interactively cluster it. Both a node-link and a matrix representation of the graph are provided. The clustering technique under consideration requires parameters to be set. The matrix representation of the graph is provided in order to visually decide on the value of those parameters. The approach has been implemented and is illustrated through an example.

Original languageEnglish
Title of host publicationInformation Visualisation, 2008. IV '08. 12th International Conference
EditorsE Banissi, L Stuart, M Jern, G Andrienko, FT Marchese, N Memon, R Alhaji, TG Wyeld, RA Burkhard, G Grinstein, D Groth, A Ursyn, C Maple, A Faiola, B Craft
PublisherIEEE
Pages227-232
Number of pages6
ISBN (Print)978-0-7695-3268-4
DOIs
Publication statusPublished - 2008
Event12th International Conference Information Visualisation 2008 - London, United Kingdom
Duration: 9 Jul 200811 Jul 2008

Publication series

NameIEEE International Conference on Information Visualisation
ISSN (Print)1550-6037

Conference

Conference12th International Conference Information Visualisation 2008
Country/TerritoryUnited Kingdom
CityLondon
Period9/07/0811/07/08

Keywords

  • visualization
  • structural clustering
  • multi-views
  • interactivity

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