GEOMI: GEOmetry for maximum insight

Authors:
Adel Ahmed;Tim Dwyer;Michael Forster;Xiaoyan Fu;Joshua Ho;Seok-Hee Hong;Dirk Koschützki;Colin Murray;Nikola S. Nikolov;Ronnie Taib;Alexandre Tarassov;Kai Xu
Affiliations:
IMAGEN Program, National ICT Australia, Sydney, Australia;Monash University, Melbourne, Australia;IMAGEN Program, National ICT Australia, Sydney, Australia;IMAGEN Program, National ICT Australia, Sydney, Australia;School of IT, The University of Sydney, Sydney, Australia;IMAGEN Program, National ICT Australia, Sydney, Australia;Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany;IMAGEN Program, National ICT Australia, Sydney, Australia;IMAGEN Program, National ICT Australia, Sydney, Australia;IMAGEN Program, National ICT Australia, Sydney, Australia;IMAGEN Program, National ICT Australia, Sydney, Australia;IMAGEN Program, National ICT Australia, Sydney, Australia
Venue:
GD'05 Proceedings of the 13th international conference on Graph Drawing
Year:
2005

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Abstract

This paper describes the GEOMI system, a visual analysis tool for the visualisation and analysis of large and complex networks. GEOMI provides a collection of network analysis methods, graph layout algorithms and several graph navigation and interaction methods. GEOMI is part of a new generation of visual analysis tools combining graph visualisation techniques with network analysis methods. GEOMI is available from http://www.cs.usyd.edu.au/~visual/valacon/geomi/.