most citedForce-Directed Graph Layouts Revisited: A New Force Based on the T-Distribution

12 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC202411 cited

Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps

Amey Salvi, Kecheng Lu, Michael E. Papka +2

Quantitative data is frequently represented using color, yet designing effective color mappings is a challenging task, requiring one to balance perceptual standards with personal c…

cs.HC2023

CA2: Cyber Attacks Analytics

Luyu Cheng, Bairui Su, Yumeng Xue +2

The VAST Challenge 2020 Mini-Challenge 1 requires participants to identify the responsible white hat groups behind a fictional Internet outage. To address this task, we have create…

cs.HC2023

Mystique: Deconstructing SVG Charts for Layout Reuse

Chen Chen, Bongshin Lee, Yunhai Wang +2

To facilitate the reuse of existing charts, previous research has examined how to obtain a semantic understanding of a chart by deconstructing its visual representation into reusab…

cs.GR202312 cited

Force-Directed Graph Layouts Revisited: A New Force Based on the T-Distribution

Fahai Zhong, Mingliang Xue, Jian Zhang +4

In this paper, we propose the t-FDP model, a force-directed placement method based on a novel bounded short-range force (t-force) defined by Student's t-distribution. Our formulati…

cs.HC20235 cited

Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots

Kecheng Lu, Khairi Reda, Oliver Deussen +1

Color is one of the main visual channels used for highlighting elements of interest in visualization. However, in multi-class scatterplots, color highlighting often comes at the ex…