Community detection methods can be proposed to unveil unobservable patterns of the football market, even considering auxiliary variables such as the type of transfer, the age or the role of the player, and the agents involved in the transfer flow. We apply these methodologies to the flows of player transfers generated by the 20 teams of the Italian first division (Serie A), summer market session 2019-2020. Results also help to better understand some peculiarities of the Italian football transfer market in terms of the different approaches of the elite teams.
Football transfer market network: the communities of the Italian football / Rondinelli, Roberto; Ievoli, Riccardo; Palazzo, Lucio. - (2023). (Intervento presentato al convegno ARS'23, 9th international workshop on social network analysis tenutosi a Ischia nel 22 Giugno 2023).
Football transfer market network: the communities of the Italian football
roberto rondinelli;riccardo ievoli;lucio palazzo
2023
Abstract
Community detection methods can be proposed to unveil unobservable patterns of the football market, even considering auxiliary variables such as the type of transfer, the age or the role of the player, and the agents involved in the transfer flow. We apply these methodologies to the flows of player transfers generated by the 20 teams of the Italian first division (Serie A), summer market session 2019-2020. Results also help to better understand some peculiarities of the Italian football transfer market in terms of the different approaches of the elite teams.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
