fnctId=thesis,fnctNo=358
[고성안] DG Comics: Semi-Automatically Authoring Graph Comics for Dynamic Graphs
- 작성자
- scsc연구센터
- 저자
- Joohee Kim; Hyunwook Lee; Duc M. Nguyen, Minjeong Shin, Bum Chul Kwon, Sungahn Ko, Niklas Elmqvist
- 발행사항
- 발행일
- 2025.01
- 저널명
- IEEE Transactions on Visualization and Computer Graphics
- 국문초록
- 영문초록
- Comics are an effective method for sequential data-driven storytelling, especially for dynamic graphs―graphs whose vertices and edges change over time. However, manually creating such comics is currently time-consuming, complex, and error-prone. In this paper, we propose DG COMICS, a novel comic authoring tool for dynamic graphs that allows users to semi-automatically build and annotate comics. The tool uses a newly developed hierarchical clustering algorithm to segment consecutive snapshots of dynamic graphs while preserving their chronological order. It also presents rich information on both individuals and communities extracted from dynamic graphs in multiple views, where users can explore dynamic graphs and choose what to tell in comics. For evaluation, we provide an example and report the results of a user study and an expert review.
- 일반텍스트
- 첨부파일