CatNetVis: Semantic Visual Exploration of Categorical High-Dimensional Data with Force-Directed Graph Layouts

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dc.contributor.authorThane, Michaelen_US
dc.contributor.authorBlum, Kai M.en_US
dc.contributor.authorLehmann, Dirk J.en_US
dc.contributor.editorHoellt, Thomasen_US
dc.contributor.editorAigner, Wolfgangen_US
dc.contributor.editorWang, Beien_US
dc.date.accessioned2023-06-10T06:34:46Z
dc.date.available2023-06-10T06:34:46Z
dc.date.issued2023
dc.description.abstractWe introduce CatNetVis, a novel method of representing semantical relations in categorical high-dimensional data. Traditional methods provide insights into many aspects of visual exploration of data. However, most of them lack information on relations in between categories or even clusters of categories. The force-directed network layout utilized by CatNetVis enables a lightweight approach in order to explore such semantical relations. The connections within the network are perceived as an intuitive metaphor for clusters of connections/relations in categorical data denoted as communities. While the user interacts, visual encodings such as information about the entropy and frequencies allow a fast perception of relation between categories and its frequencies, respectively. We illustrate how CatNetVis performs as an effective addition to traditional methods by demonstrating the method on an example data sets and comparing it to conventional methods.en_US
dc.description.sectionheadersGraphs and High-Dimensional Data
dc.description.seriesinformationEuroVis 2023 - Short Papers
dc.identifier.doi10.2312/evs.20231049
dc.identifier.isbn978-3-03868-219-6
dc.identifier.pages91-95
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/evs.20231049
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20231049
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleCatNetVis: Semantic Visual Exploration of Categorical High-Dimensional Data with Force-Directed Graph Layoutsen_US
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