Hybrid Multilayer Network Visualization of Bibliographic Data
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
CCS Concepts: Human-centered computing → Graph drawings; Visual analytics
@inproceedings{10.2312:evp.20241084,
booktitle = {EuroVis 2024 - Posters},
editor = {Kucher, Kostiantyn and Diehl, Alexandra and Gillmann, Christina},
title = {{Hybrid Multilayer Network Visualization of Bibliographic Data}},
author = {Durant, Eloi and Tappini, Alessandra and Didimo, Walter and Liotta, Giuseppe and Ghoniem, Mohammad},
year = {2024},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-258-5},
DOI = {10.2312/evp.20241084}
}