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- Title
Optimization for Large-Scale n-ary Family Tree Visualization.
- Authors
Kyoungju Min; Jeongyun Cho; Manho Jung; Hyangbae Lee
- Abstract
The family tree is one of the key elements of humanities classics research and is very important for accurately understanding people or families. In this paper, we introduce a method for automatically generating a family tree using information on interpersonal relationships (IIPR) from the Korean Classics Database (KCDB) and visualize interpersonal searches within a family tree using data-driven document JavaScript (d3.js). To date, researchers of humanities classics have wasted considerable time manually drawing family trees to understand people's influence relationships. An automatic family tree builder analyzes a database that visually expresses the desired family tree. Because a family tree contains a large amount of data, we analyze the performance and bottlenecks according to the amount of data for visualization and propose an optimal way to construct a family tree. To this end, we create an n-ary tree with fake data, visualize it, and analyze its performance using simulation results.
- Subjects
GENEALOGY; VISUALIZATION; INTERPERSONAL relations; DATABASES; JAVASCRIPT programming language; DATA visualization
- Publication
Journal of Information & Communication Convergence Engineering, 2023, Vol 21, Issue 1, p54
- ISSN
2234-8255
- Publication type
Article
- DOI
10.56977/jicce.2023.21.1.54