A Graph-Theoretic Approach for Examining Team Communities in Sports Transfer Markets

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dc.contributor.authorLillo Portero, Eleuterio
dc.contributor.authorAli, Hesham
dc.date.accessioned2023-12-26T18:36:29Z
dc.date.available2023-12-26T18:36:29Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2023.104
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.othercac6f9f6-79ec-4120-a5d2-ac820cd86eb1
dc.identifier.urihttps://hdl.handle.net/10125/106481
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBig Data and Analytics: Pathways to Maturity
dc.subjectcomplex networks
dc.subjectgraph theory
dc.subjectmodularity
dc.subjectsoccer
dc.subjecttransfer markets
dc.titleA Graph-Theoretic Approach for Examining Team Communities in Sports Transfer Markets
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThe sport transfer market is a designated timeframe where teams engage in player acquisitions and sales, aiming to enhance their rosters. The transfer process has been growing significantly in the last few years. Therefore, the goal of this study is to investigate the intricate dynamics of both local and global transfer markets, treating them as complex networks, to comprehend their influence on club performances. We employ graph theoretic concepts to model the transfer process and analyze its outcomes. To illustrate our approach and assess its results, we have constructed a complex network based on European soccer leagues, focusing on the specific case study of the English Premier League as one of the most recognized professional leagues in the world.
dcterms.extent10 pages
prism.startingpage854

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