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dc.contributor.authorLee, Alexandra
dc.contributor.authorArchambault, Daniel
dc.contributor.authorNacenta, Miguel
dc.date.accessioned2019-05-03T23:38:35Z
dc.date.available2019-05-03T23:38:35Z
dc.date.issued2019-04-18
dc.identifier.citationLee , A , Archambault , D & Nacenta , M 2019 , Dynamic Network Plaid : a tool for the analysis of dynamic networks . in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI'19) . , 130 , ACM , New York , ACM Conference on Human Factors in Computing Systems 2019 , Glasgow , United Kingdom , 4/05/19 . https://doi.org/10.1145/3290605.3300360en
dc.identifier.citationconferenceen
dc.identifier.isbn9781450359702
dc.identifier.otherPURE: 257478856
dc.identifier.otherPURE UUID: 13bb8172-f393-4478-b0df-9c496255737c
dc.identifier.otherORCID: /0000-0002-9864-9654/work/57088502
dc.identifier.otherScopus: 85067623818
dc.identifier.otherWOS: 000474467901059
dc.identifier.urihttps://hdl.handle.net/10023/17644
dc.descriptionFunding: Partially supported by a Microsoft Surface Hub award.en
dc.description.abstractNetwork data that changes over time can be very useful for studying a wide range of important phenomena, from how social network connections change to epidemiology. However, it is challenging to analyze, especially if it has many actors, connections or if the covered timespan is large with rapidly changing links (e.g., months of changes with changes at second resolution). In these analyses one would often like to compare many periods of time to others, without having to look at the full timeline. To support this kind of analysis we designed and implemented a technique and system to visualize this dynamic data. The Dynamic Network Plaid (DNP) is designed for large displays and based on user-generated interactive timeslicing on the dynamic graph attributes and on linked provenance-preserving representations. We present the technique, interface and the design/evaluation with a group of public health researchers investigating non-suicidal self-harm picture sharing in Instagram.
dc.format.extent12
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofProceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI'19)en
dc.rights© 2019, the Author(s). This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at http://doi.org/10.1145/3290605.3300360en
dc.subjectInformation visualizationen
dc.subjectDynamic network analysisen
dc.subjectLarge display visualizationen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectT Technologyen
dc.subject3rd-NDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccQA75en
dc.subject.lccTen
dc.titleDynamic Network Plaid : a tool for the analysis of dynamic networksen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1145/3290605.3300360
dc.date.embargoedUntil2019-05-04


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