EuroVisPosters2024

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Hybrid Multilayer Network Visualization of Bibliographic Data
(The Eurographics Association, 2024) Durant, Eloi; Tappini, Alessandra; Didimo, Walter; Liotta, Giuseppe; Ghoniem, Mohammad; Kucher, Kostiantyn; Diehl, Alexandra; Gillmann, Christina
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.