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- Publisher Website: 10.1007/11618058_42
- Scopus: eid_2-s2.0-33745655006
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Conference Paper: GEOMI: GEOmetry for maximum insight
Title | GEOMI: GEOmetry for maximum insight |
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Authors | |
Issue Date | 2006 |
Citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, v. 3843 LNCS, p. 468-479 How to Cite? |
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/. © Springer-Verlag Berlin Heidelberg 2005. |
Persistent Identifier | http://hdl.handle.net/10722/262597 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
DC Field | Value | Language |
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dc.contributor.author | Ahmed, Adel | - |
dc.contributor.author | Dwyer, Tim | - |
dc.contributor.author | Forster, Michael | - |
dc.contributor.author | Fu, Xiaoyan | - |
dc.contributor.author | Ho, Joshua | - |
dc.contributor.author | Hong, Seok Hee | - |
dc.contributor.author | Koschützki, Dirk | - |
dc.contributor.author | Murray, Colin | - |
dc.contributor.author | Nikolov, Nikola S. | - |
dc.contributor.author | Taib, Ronnie | - |
dc.contributor.author | Tarassov, Alexandre | - |
dc.contributor.author | Xu, Kai | - |
dc.date.accessioned | 2018-10-08T02:46:29Z | - |
dc.date.available | 2018-10-08T02:46:29Z | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, v. 3843 LNCS, p. 468-479 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10722/262597 | - |
dc.description.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/. © Springer-Verlag Berlin Heidelberg 2005. | - |
dc.language | eng | - |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.title | GEOMI: GEOmetry for maximum insight | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/11618058_42 | - |
dc.identifier.scopus | eid_2-s2.0-33745655006 | - |
dc.identifier.volume | 3843 LNCS | - |
dc.identifier.spage | 468 | - |
dc.identifier.epage | 479 | - |
dc.identifier.eissn | 1611-3349 | - |
dc.identifier.issnl | 0302-9743 | - |