Pie Chart Glyph Visualization of Uncertain Connected Components
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Edges of graphs are often associated with uncertainty. The inherent uncertainty of the data also induces uncertainty in derived graph attributes such as connected components. Even for planar graphs, visualizing the connected components in the graph embedding while encoding their uncertainty imposes challenges due to overlap. We present a visual encoding for uncertain connected components in a planar graph embedding. The underlying model does not require matching or assumptions on the overlap of the components and emphasizes uncertain boundary regions. We discuss different design options and show the applicability of our approach based on synthetic data and real-world data on force networks in granular materials.
Description
@inproceedings{10.2312:evp.20251131,
booktitle = {EuroVis 2025 - Posters},
editor = {Diehl, Alexandra and Kucher, Kostiantyn and Médoc, Nicolas},
title = {{Pie Chart Glyph Visualization of Uncertain Connected Components}},
author = {Evers, Marina and Rasheed, Farhan and Masood, Talha Bin and Hotz, Ingrid and Weiskopf, Daniel},
year = {2025},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-286-8},
DOI = {10.2312/evp.20251131}
}