Eurovision Song Contest Voting Communities (Graph Drawing Contest Abstract)

Somoji Rao, Charan Kumar Kharade; Baur, Melanie; Krone, Michael

doi:10.4230/LIPIcs.GD.2026.39

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Eurovision Song Contest Voting Communities (Graph Drawing Contest Abstract)

Authors Charan Kumar Kharade Somoji Rao , Melanie Baur , Michael Krone

Part of: Volume: 34th International Symposium on Graph Drawing and Network Visualization (GD 2026)
Part of: Series: Leibniz International Proceedings in Informatics (LIPIcs)
Part of: Conference: Graph Drawing and Network Visualization (GD)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2026-11-12

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LIPIcs.GD.2026.39.pdf

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Document Identifiers

DOI: 10.4230/LIPIcs.GD.2026.39
URN: urn:nbn:de:0030-drops-279342

Subject Classification

ACM Subject Classification

Human-centered computing → Graph drawings

Keywords

Graph Drawing Contest 2026 Creative Topic: Eurovision Song Contest

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Abstract

We present our approach to tackle and win the Creative Topic of the 2026 Graph Drawing Contest, which focused on voting patterns in the Eurovision Song Contest. We describe our driving question, the data preprocessing and filtering, and the design of the poster, including the selected visualizations.

Cite As Get BibTex

Charan Kumar Kharade Somoji Rao, Melanie Baur, and Michael Krone. Eurovision Song Contest Voting Communities (Graph Drawing Contest Abstract). In 34th International Symposium on Graph Drawing and Network Visualization (GD 2026). Leibniz International Proceedings in Informatics (LIPIcs), Volume 396, pp. 39:1-39:4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026) https://doi.org/10.4230/LIPIcs.GD.2026.39

Author Details

Charan Kumar Kharade Somoji Rao

Stuttgart Technical University of Applied Sciences (HFT Stuttgart), Germany

Melanie Baur

Stuttgart Technical University of Applied Sciences (HFT Stuttgart), Germany

Michael Krone

Stuttgart Technical University of Applied Sciences (HFT Stuttgart), Germany

References

V. D. Blondel et al. Fast unfolding of communities in large networks. J. Stat. Mech., 2008(10):P10008, 2008. URL: https://doi.org/10.1088/1742-5468/2008/10/P10008.
M. Bostock et al. D3 Data-Driven Documents. IEEE TVCG, 17(12):2301-2309, 2011. URL: https://doi.org/10.1109/TVCG.2011.185.
M. Rosvall et al. Mapping Change in Large Networks. PLOS ONE, 5(1):e8694, 2010. URL: https://doi.org/10.1371/journal.pone.0008694.

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