~/talk

Footbal meets graphs

Talkat satRdays Paris 2019 · on Saturday, 2019-02-23· [data-visualization]
slides:none on file

Graph model of leagues, matches and teams in Neo4j + cypher quantifies two concrete findings: a measurable home advantage (Barcelona shows ~+0.11 more home wins) and declining league competitiveness over time. Data covers 99 teams, ~20,000 matches, seasons 1993–2009; competitiveness is encoded as directed win-edges with draws as one-point links and measured by connectivity (strong nodes: Real Madrid, Barcelona, Valencia, Man City; weak nodes: Las Palmas, Malaga). Reproducible code uses Docker + neo4r R scripts for queries, tables and network visualizations.

AI-written summary · about

  1. 0:00Introduction to football and graphs
  2. 5:08Neo4j graph database basics
  3. 11:50Data overview and leagues
  4. 12:10Home advantage in football
  5. 16:53Competitiveness in leagues
  6. 20:51Team strength analysis
  7. 22:01Resources and conclusion
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