Sailor Shift and the Spread of Oceanus Folk: A Visual Analysis
Makena Lu, Hafiza Rabail Mushtaq, Zeyuan Yu, Daniel A. Keim, Lucas Joos, Julius Rauscher · 2025
This paper presents a visual analytics system developed for the VAST Challenge 2025 Mini-Challenge 1 (MC1). Leveraging a comprehensive knowledge graph, our interactive system analyzes musical influences, collaborations, and genre evolution through the career of artist Sailor Shift and the Oceanus Folk genre. The system integrates network graphs, timelines, and sankey diagrams to facilitate exploration of artist relationships, the temporal spread of Oceanus Folk, and identification of emerging talent. Architecturally, it combines a Neo4j graph database, FastAPI backend, and React frontend, providing a robust platform for data-driven insights tailored to assist journalist Silas Reed.