A task-based evaluation of combined set and network visualization

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorRodgers, Peter
dc.contributor.authorStapleton, Gem
dc.contributor.authorAlsallakh, Bilal
dc.contributor.authorMicallef, Luana
dc.contributor.authorBaker, Rob
dc.contributor.authorThompson, Simon
dc.contributor.departmentUniversity of Kent
dc.contributor.departmentUniversity of Brighton
dc.contributor.departmentVienna University of Technology
dc.contributor.departmentDepartment of Computer Science
dc.date.accessioned2017-05-11T09:16:21Z
dc.date.available2017-05-11T09:16:21Z
dc.date.issued2016-11-01
dc.description.abstractThis paper addresses the problem of how best to visualize network data grouped into overlapping sets. We address it by evaluating various existing techniques alongside a new technique. Such data arise in many areas, including social network analysis, gene expression data, and crime analysis. We begin by investigating the strengths and weakness of four existing techniques, namely Bubble Sets, EulerView, KelpFusion, and LineSets, using principles from psychology and known layout guides. Using insights gained, we propose a new technique, SetNet, that may overcome limitations of earlier methods. We conducted a comparative crowdsourced user study to evaluate all five techniques based on tasks that require information from both the network and the sets. We established that EulerView and SetNet, both of which draw the sets first, yield significantly faster user responses than Bubble Sets, KelpFusion and LineSets, all of which draw the network first.en
dc.description.versionPeer revieweden
dc.format.extent22
dc.format.extent58-79
dc.format.mimetypeapplication/pdf
dc.identifier.citationRodgers , P , Stapleton , G , Alsallakh , B , Micallef , L , Baker , R & Thompson , S 2016 , ' A task-based evaluation of combined set and network visualization ' , Information Sciences , vol. 367-368 , pp. 58-79 . https://doi.org/10.1016/j.ins.2016.05.045en
dc.identifier.doi10.1016/j.ins.2016.05.045
dc.identifier.issn0020-0255
dc.identifier.otherPURE UUID: fc2dad68-c596-4acb-a5d9-b081476de1e6
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/fc2dad68-c596-4acb-a5d9-b081476de1e6
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=84974824425&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/11745721/1_s2.0_S002002551630384X_main.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/25991
dc.identifier.urnURN:NBN:fi:aalto-201705114366
dc.language.isoenen
dc.relation.ispartofseriesInformation Sciencesen
dc.relation.ispartofseriesVolume 367-368en
dc.rightsopenAccessen
dc.subject.keywordClustering
dc.subject.keywordCombined visualization
dc.subject.keywordGraph visualization
dc.subject.keywordNetworks
dc.subject.keywordSet visualization
dc.titleA task-based evaluation of combined set and network visualizationen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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