Hybrid Multilayer Network Visualization of Bibliographic Data
dc.contributor.author | Durant, Eloi | en_US |
dc.contributor.author | Tappini, Alessandra | en_US |
dc.contributor.author | Didimo, Walter | en_US |
dc.contributor.author | Liotta, Giuseppe | en_US |
dc.contributor.author | Ghoniem, Mohammad | en_US |
dc.contributor.editor | Kucher, Kostiantyn | en_US |
dc.contributor.editor | Diehl, Alexandra | en_US |
dc.contributor.editor | Gillmann, Christina | en_US |
dc.date.accessioned | 2024-05-21T08:45:25Z | |
dc.date.available | 2024-05-21T08:45:25Z | |
dc.date.issued | 2024 | |
dc.description.abstract | To 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.sectionheaders | Posters | |
dc.description.seriesinformation | EuroVis 2024 - Posters | |
dc.identifier.doi | 10.2312/evp.20241084 | |
dc.identifier.isbn | 978-3-03868-258-5 | |
dc.identifier.pages | 3 pages | |
dc.identifier.uri | https://doi.org/10.2312/evp.20241084 | |
dc.identifier.uri | https://diglib.eg.org/handle/10.2312/evp20241084 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Human-centered computing → Graph drawings; Visual analytics | |
dc.subject | Human centered computing → Graph drawings | |
dc.subject | Visual analytics | |
dc.title | Hybrid Multilayer Network Visualization of Bibliographic Data | en_US |