Networks of international football: communities, evolution and globalization of the game
Yang Li, Gonzalo Mateos

TL;DR
This study uses network science to analyze over a century of international football data, revealing the sport's community structures, evolution, and the influence of social and political factors on its globalization.
Contribution
It introduces a macroscopic network-based approach to study football's evolution, community dynamics, and historical development stages over time.
Findings
Football networks show expanding community structures.
Major events and social incidents significantly impact football evolution.
Distinct development stages identified through spatio-temporal analysis.
Abstract
As the most popular sport around the globe, the game of football has recently intrigued much research interest to explore and distill useful and appealing information from the sport. Network science and graph-centric methods have been previously applied to study the importance of football players and teams. In this paper, for the first time we study the macroscopic evolution of the football society from a complex network point of view. Football game records within a time window of over a century were collected and expressed in a graph format, where participant teams are represented by graph nodes and the games between them are the graph edges. We carry out community detection and temporal analysis to reveal the dynamic features and the community structures embedded within the football network, offering the evidence of a continuously expanding football society. Spatio-temporal analysis…
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Taxonomy
TopicsSports Analytics and Performance · Complex Network Analysis Techniques · Sports, Gender, and Society
