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- Ames Research CenterUS3 papers
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cs.HC2024
Learning Human Detected Differences in Directed Acyclic Graphs
Kathrin Guckes, Alena Beyer, Margit Pohl +1
Prior research has shown that human perception of similarity differs from mathematical measures in visual comparison tasks, including those involving directed acyclic graphs. This…
cs.HC2024
A Shape Change Enhancing Hierarchical Layout for the Pairwise Comparison of Directed Acyclic Graphs
Kathrin Guckes, Marc Schäpers, Margit Pohl +2
Comparing directed acyclic graphs is essential in various fields such as healthcare, social media, finance, biology, and marketing. DAGs often result from contagion processes over…
cs.HC2024
GuidelineExplorer -- Navigating through the Forrest of Actionable Guidelines on Node-Link Graph Visualization
Kathrin Guckes, Lisa Eisenhardt, Margit Pohl +1
Creating graph visualizations involves many decisions, such as layout, node and edge appearance, and color choices. These decisions are challenging due to the multitude of options…