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dc.contributorUniversitat Ramon Llull. Esade
dc.contributor.authorBuldú, Javier
dc.contributor.authorParida, Vinit
dc.contributor.authorEchegoyen, I.
dc.contributor.authorSeirul.lo, F.
dc.date.accessioned2025-03-03T12:41:35Z
dc.date.available2025-03-03T12:41:35Z
dc.date.issued2019
dc.identifier.issn2045-2322ca
dc.identifier.urihttp://hdl.handle.net/20.500.14342/5098
dc.description.abstractThe application of Network Science to social systems has introduced new methodologies to analyze classical problems such as the emergence of epidemics, the arousal of cooperation between individuals or the propagation of information along social networks. More recently, the organization of football teams and their performance have been unveiled using metrics coming from Network Science, where a team is considered as a complex network whose nodes (i.e., players) interact with the aim of overcoming the opponent network. Here, we combine the use of different network metrics to extract the particular signature of the F.C. Barcelona coached by Guardiola, which has been considered one of the best teams along football history. We have first compared the network organization of Guardiola’s team with their opponents along one season of the Spanish national league, identifying those metrics with statistically significant differences and relating them with the Guardiola’s game. Next, we have focused on the temporal nature of football passing networks and calculated the evolution of all network properties along a match, instead of considering their average. In this way, we are able to identify those network metrics that enhance the probability of scoring/receiving a goal, showing that not all teams behave in the same way and how the organization Guardiola’s F.C. Barcelona is different from the rest, including its clustering coefficient, shortest-path length, largest eigenvalue of the adjacency matrix, algebraic connectivity and centrality distribution.ca
dc.format.extent14 p.ca
dc.language.isoengca
dc.publisherNature Publishing Groupca
dc.relation.ispartofScientific Reportsca
dc.rights© L'autor/aca
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherFootballca
dc.titleDefining a historic football team: Using Network Science to analyze Guardiola’s F.C. Barcelonaca
dc.typeinfo:eu-repo/semantics/articleca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.identifier.doihttp://doi.org/10.1038/s41598-019-49969-2ca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca


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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
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