BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CFP.DEV//CFP.DEV shortcodes//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Voxxed Days Ticino 2026
X-WR-RELCALID:c426493a-54d4-472b-b975-6f3aaa7163fa
X-WR-TIMEZONE:Europe/Zurich
BEGIN:VEVENT
UID:cfp-1151-8657@cfp.dev
DTSTAMP:20260920T122134Z
SEQUENCE:0
STATUS:CONFIRMED
DTSTART:20260206T092000Z
DTEND:20260206T100500Z
SUMMARY:Friendly Borders: Graph algorithms reveal Eurovision voting pattern
 s
DESCRIPTION:Graphs offer a powerful tool for uncovering relationships and h
 idden patterns between entities. This presentation provides an introductio
 n to graph theory\, and demonstrates how graphs are applied across various
  business domains - from social network analysis and recommendation system
 s to fraud detection and supply chain optimization. Through an overview of
  core concepts and algorithmic approaches\, the goal is to show how graphs
  can reveal underlying structures in complex systems.As a real-world case 
 study\, the presentation focuses on Eurovision voting - an area long suspe
 cted of regional bias and neighbourly favoritism. Using graph-based analys
 is and community detection techniques\, we explore voting patterns between
  countries to better understand how geography\, history\, and politics inf
 luence the distribution of points. Through visualizations and data-driven 
 insights\, the talk demonstrates how graph theory uncovers hidden alliance
 s and behavioral trends within the seemingly light-hearted spectacle of a 
 music contest.\nSpeakers: Domagoj Marić\nTrack: Data
URL:https://vdt26.voxxeddays.ch/talk/friendly-borders-graph-algorithms-reve
 al-eurovision-voting-patterns/
LOCATION:Room E\nPalazzo dei Congressi\nLugano\, Switzerland
CATEGORIES:Data 
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END:VCALENDAR