5 papers
Visualization Biases MLLM's Decision Making in Network Data Tasks
Timo Brand, Henry Förster, Stephen G. Kobourov +1
We evaluate how visualizations can influence the judgment of MLLMs about the presence or absence of bridges in a network. We show that the inclusion of visualization improves confi…
Embedding Trees and Cactus Graphs with Integer Edge Lengths on a Compact Integer Grid
Henry Förster, Aaron Büngener, Stephen Kobourov +2
Every planar graph can be embedded with crossing-free, straight-line edges on an integer grid, where is the number of vertices. It is not known, however, whe…
Exploring MLLMs Perception of Network Visualization Principles
Jacob Miller, Markus Wallinger, Ludwig Felder +5
In this paper, we test whether Multimodal Large Language Models (MLLMs) can match human-subject performance in tasks involving the perception of properties in network layouts. Spec…
"Normalized Stress" is Not Normalized: How to Interpret Stress Correctly
Kiran Smelser, Jacob Miller, Stephen Kobourov
Stress is among the most commonly employed quality metrics and optimization criteria for dimension reduction projections of high dimensional data. Complex, high dimensional data is…
Size Should Not Matter: Evaluating Network Visualizations with Stress
Reyan Ahmed, Cesim Erten, Stephen Kobourov +3
The normalized stress metric is widely used to assess graph drawing quality, measuring how closely distances between vertices in a layout match their graph-theoretic distances. Thi…