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Conference Paper: GEOMI: GEOmetry for maximum insight

TitleGEOMI: GEOmetry for maximum insight
Authors
Issue Date2006
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?
AbstractThis 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 Identifierhttp://hdl.handle.net/10722/262597
ISSN
2023 SCImago Journal Rankings: 0.606

 

DC FieldValueLanguage
dc.contributor.authorAhmed, Adel-
dc.contributor.authorDwyer, Tim-
dc.contributor.authorForster, Michael-
dc.contributor.authorFu, Xiaoyan-
dc.contributor.authorHo, Joshua-
dc.contributor.authorHong, Seok Hee-
dc.contributor.authorKoschützki, Dirk-
dc.contributor.authorMurray, Colin-
dc.contributor.authorNikolov, Nikola S.-
dc.contributor.authorTaib, Ronnie-
dc.contributor.authorTarassov, Alexandre-
dc.contributor.authorXu, Kai-
dc.date.accessioned2018-10-08T02:46:29Z-
dc.date.available2018-10-08T02:46:29Z-
dc.date.issued2006-
dc.identifier.citationLecture 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.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/262597-
dc.description.abstractThis 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.languageeng-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.titleGEOMI: GEOmetry for maximum insight-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/11618058_42-
dc.identifier.scopuseid_2-s2.0-33745655006-
dc.identifier.volume3843 LNCS-
dc.identifier.spage468-
dc.identifier.epage479-
dc.identifier.eissn1611-3349-
dc.identifier.issnl0302-9743-

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