Durant, EloiTappini, AlessandraDidimo, WalterLiotta, GiuseppeGhoniem, MohammadKucher, KostiantynDiehl, AlexandraGillmann, Christina2024-05-212024-05-212024978-3-03868-258-5https://doi.org/10.2312/evp.20241084https://diglib.eg.org/handle/10.2312/evp20241084To 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.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing → Graph drawings; Visual analyticsHuman centered computing → Graph drawingsVisual analyticsHybrid Multilayer Network Visualization of Bibliographic Data10.2312/evp.202410843 pages