Please use this identifier to cite or link to this item:
https://research.academicanalytical.com/jspui/handle/1471/10
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Gray, Cameron C. | - |
dc.contributor.author | Roberts, Jonathan C. | - |
dc.contributor.author | Ritsos, Panagiotis D. | - |
dc.date.accessioned | 2018-07-05T14:53:52Z | - |
dc.date.available | 2018-07-05T14:53:52Z | - |
dc.date.issued | 2015-06-25 | - |
dc.identifier.uri | https://research.shadowraider.com/jspui/handle/1471/10 | - |
dc.description.abstract | Network 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.iso | en | en_GB |
dc.publisher | IEEE | en_GB |
dc.subject | Contextual Navigation | en_GB |
dc.subject | Phylogram | en_GB |
dc.subject | Maps | en_GB |
dc.title | Where Can I Go From Here? Drawing Contextual Navigation Maps of the London Underground | en_GB |
dc.type | Presentation | en_GB |
Appears in Collections: | Accepted Papers |
Files in This Item:
File | Description | Size | Format | |
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Where_Can_I_Go_From_Here_.pdf | Poster Paper | 516.53 kB | Adobe PDF | View/Open |
contextual-nav-poster-min.pdf | Poster | 1.22 MB | Adobe PDF | View/Open |
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