Sailor Shift and the Spread of Oceanus Folk : A Visual Analysis

Kurzanzeige
dc.contributor.authorLu, Makena
dc.contributor.authorMushtaq, Hafiza Rabail
dc.contributor.authorYu, Zeyuan
dc.contributor.authorKeim, Daniel A.
dc.contributor.authorJoos, Lucas
dc.contributor.authorRauscher, Julius
dc.date.accessioned2026-02-20T10:10:39Z
dc.date.available2026-02-20T10:10:39Z
dc.date.issued2025-11-03
dc.description.abstractThis 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.
dc.description.versionpublisheddeu
dc.identifier.doi10.1109/vast-challenge69463.2025.00007
dc.identifier.ppn1967830932
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/76267
dc.language.isoeng
dc.rightsterms-of-use
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subject.ddc004
dc.titleSailor Shift and the Spread of Oceanus Folk : A Visual Analysiseng
dc.typeINPROCEEDINGS
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Lu2025-11-03Sailo-76267,
  title={Sailor Shift and the Spread of Oceanus Folk : A Visual Analysis},
  year={2025},
  doi={10.1109/vast-challenge69463.2025.00007},
  isbn={979-8-3315-9090-1},
  address={Piscataway, NJ},
  publisher={IEEE},
  booktitle={2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge)},
  pages={5--6},
  author={Lu, Makena and Mushtaq, Hafiza Rabail and Yu, Zeyuan and Keim, Daniel A. and Joos, Lucas and Rauscher, Julius}
}
kops.citation.iso690LU, Makena, Hafiza Rabail MUSHTAQ, Zeyuan YU, Daniel A. KEIM, Lucas JOOS, Julius RAUSCHER, 2025. Sailor Shift and the Spread of Oceanus Folk : A Visual Analysis. 2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Vienna, Austria, 3. Nov. 2025. In: 2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, S. 5-6. ISBN 979-8-3315-9090-1. Verfügbar unter: doi: 10.1109/vast-challenge69463.2025.00007deu
kops.citation.iso690LU, Makena, Hafiza Rabail MUSHTAQ, Zeyuan YU, Daniel A. KEIM, Lucas JOOS, Julius RAUSCHER, 2025. Sailor Shift and the Spread of Oceanus Folk : A Visual Analysis. 2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Vienna, Austria, Nov 3, 2025. In: 2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, pp. 5-6. ISBN 979-8-3315-9090-1. Available under: doi: 10.1109/vast-challenge69463.2025.00007eng
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kops.sourcefield.plain2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, pp. 5-6. ISBN 979-8-3315-9090-1. Available under: doi: 10.1109/vast-challenge69463.2025.00007eng
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