Please use this identifier to cite or link to this item: https://research.academicanalytical.com/jspui/handle/1471/10
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dc.contributor.authorGray, Cameron C.-
dc.contributor.authorRoberts, Jonathan C.-
dc.contributor.authorRitsos, Panagiotis D.-
dc.date.accessioned2018-07-05T14:53:52Z-
dc.date.available2018-07-05T14:53:52Z-
dc.date.issued2015-06-25-
dc.identifier.urihttps://research.shadowraider.com/jspui/handle/1471/10-
dc.description.abstractNetwork administrators often wish to ascertain where network attackers are located; therefore it would be useful to display the network map from the context of either the attacker’s potential location or the attacked host. As part of a bigger project we are investigating how to best visualize contextual network data. We use a dataset of station adjacencies with journey times as edge weights, to explore which visualization design is most suitable, and also ascertain the best network shortest-path metric. This short paper presents our initial findings, and a visualization for Contextual Navigation using circular, centered-phylogram projections of the network. Our visualizations are interactive allowing users to explore different scenarios and observe relative distances in the data.en_GB
dc.language.isoenen_GB
dc.publisherIEEEen_GB
dc.subjectContextual Navigationen_GB
dc.subjectPhylogramen_GB
dc.subjectMapsen_GB
dc.titleWhere Can I Go From Here? Drawing Contextual Navigation Maps of the London Undergrounden_GB
dc.typePresentationen_GB
Appears in Collections:Accepted Papers

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Where_Can_I_Go_From_Here_.pdfPoster Paper516.53 kBAdobe PDFView/Open
contextual-nav-poster-min.pdfPoster1.22 MBAdobe PDFView/Open


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