Exploring the European professional football inter-league transfer market: A network analysis approach

Orçun Karabıçak; Sinan Dede; Steven van den Oord; Claudia Zucca

Exploring the European professional football inter-league transfer market: A network analysis approach

Orçun Karabıçak
, Sinan Dede
, Steven van den Oord
, Claudia Zucca

Research output: Contribution to conference › Poster › Other research output

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Abstract

Transfer patterns among clubs in Europe’s top five football leagues are analyzed with a focus on inter-league player mobility. The inter-league transfer market is modeled as a network and Exponential Random Graph Models (ERGMs) are applied to identify structural and club-level effects. Results show that participation in UEFA tournaments and greater nationality diversity within teams are associated with increased inter-league transfer activity, while relational and structural embeddedness appear to play a limited role

Original language	English
Number of pages	1
Publication status	Published - 5 Jun 2025
Event	NetSci 2025 - Maastricht, Netherlands Duration: 2 Jun 2025 → 6 Jun 2025 https://netsci2025.github.io

Conference

Conference	NetSci 2025
Country/Territory	Netherlands
Period	2/06/25 → 6/06/25
Internet address	https://netsci2025.github.io

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Exploring the european professional football inter league transfer marketFinal published version, 22.9 MB

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title = "Exploring the European professional football inter-league transfer market: A network analysis approach ",

abstract = "Transfer patterns among clubs in Europe{\textquoteright}s top five football leagues are analyzed with a focus on inter-league player mobility. The inter-league transfer market is modeled as a network and Exponential Random Graph Models (ERGMs) are applied to identify structural and club-level effects. Results show that participation in UEFA tournaments and greater nationality diversity within teams are associated with increased inter-league transfer activity, while relational and structural embeddedness appear to play a limited role",

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T2 - NetSci 2025

AU - Karabıçak, Orçun

AU - Dede, Sinan

AU - van den Oord, Steven

AU - Zucca, Claudia

PY - 2025/6/5

Y1 - 2025/6/5

N2 - Transfer patterns among clubs in Europe’s top five football leagues are analyzed with a focus on inter-league player mobility. The inter-league transfer market is modeled as a network and Exponential Random Graph Models (ERGMs) are applied to identify structural and club-level effects. Results show that participation in UEFA tournaments and greater nationality diversity within teams are associated with increased inter-league transfer activity, while relational and structural embeddedness appear to play a limited role

AB - Transfer patterns among clubs in Europe’s top five football leagues are analyzed with a focus on inter-league player mobility. The inter-league transfer market is modeled as a network and Exponential Random Graph Models (ERGMs) are applied to identify structural and club-level effects. Results show that participation in UEFA tournaments and greater nationality diversity within teams are associated with increased inter-league transfer activity, while relational and structural embeddedness appear to play a limited role

UR - https://netsci2025.github.io/posters/

M3 - Poster

Y2 - 2 June 2025 through 6 June 2025

ER -

Exploring the European professional football inter-league transfer market: A network analysis approach

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