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dc.contributor.authorPister, Alexisen_US
dc.contributor.authorPrieur, Christopheen_US
dc.contributor.authorFekete, Jean-Danielen_US
dc.contributor.editorKrone, Michaelen_US
dc.contributor.editorLenti, Simoneen_US
dc.contributor.editorSchmidt, Johannaen_US
dc.date.accessioned2022-06-02T15:29:06Z
dc.date.available2022-06-02T15:29:06Z
dc.date.issued2022
dc.identifier.isbn978-3-03868-185-4
dc.identifier.urihttps://doi.org/10.2312/evp.20221115
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evp20221115
dc.description.abstractWe present a new system for the visualization, visual query, and comparison of social networks modeled as bipartite multivariate dynamic graphs. Historians and sociologists study collections of documents -such as marriage acts, birth certificates, or contracts-from a region and time of interest and can transform them into Bipartite Multivariate Dynamic Social Networks to follow an in-depth analysis. However, few social network analysis tools are designed for this type of network, and existing ones rarely provide enough interactions to answer complex sociological questions.We present a new visual analytics system allowing to explore this type of network. In particular, we designed a visual query system specifically for this data model, allowing social scientists to easily apply filters on the topology and attributes of a network. We demonstrate how the interface coupled with the query system can be used to answer sociological questions with one real-world use case based on construction contracts.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleVisual Queries on Bipartite Multivariate Dynamic Social Networksen_US
dc.description.seriesinformationEuroVis 2022 - Posters
dc.description.sectionheadersPosters
dc.identifier.doi10.2312/evp.20221115
dc.identifier.pages39-41
dc.identifier.pages3 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License