Hybrid Multilayer Network Visualization of Bibliographic Data

dc.contributor.authorDurant, Eloien_US
dc.contributor.authorTappini, Alessandraen_US
dc.contributor.authorDidimo, Walteren_US
dc.contributor.authorLiotta, Giuseppeen_US
dc.contributor.authorGhoniem, Mohammaden_US
dc.contributor.editorKucher, Kostiantynen_US
dc.contributor.editorDiehl, Alexandraen_US
dc.contributor.editorGillmann, Christinaen_US
dc.date.accessioned2024-05-21T08:45:25Z
dc.date.available2024-05-21T08:45:25Z
dc.date.issued2024
dc.description.abstractTo reify the concept of layers, multilayer network visualizations often lay out nodes on distinct hyperplanes, one per layer. In this work, we consider the case of a 2D representation where layer nodes are laid out on parallel rectilinear axes. The adoption of classic edge drawing strategies here would lead to much visual clutter due to overlapping inter-layer and intra-layer edges. Moreover, distinguishing between these two types of edges would be fairly difficult. In this preliminary work, we explore the potential of using a hybrid visualization blending the adjacency matrix and node-link metaphors to distinguish undirected intraand inter-layer edges, respectively.We apply this approach to the analysis of bibliographic data, and discuss current limitations.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2024 - Posters
dc.identifier.doi10.2312/evp.20241084
dc.identifier.isbn978-3-03868-258-5
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/evp.20241084
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/evp20241084
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Graph drawings; Visual analytics
dc.subjectHuman centered computing → Graph drawings
dc.subjectVisual analytics
dc.titleHybrid Multilayer Network Visualization of Bibliographic Dataen_US
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