Variations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup

Detalhes bibliográficos
Autor(a) principal: Filipe Manuel Clemente
Data de Publicação: 2019
Outros Autores: Hugo Borges Sarmento, Gibson Moreira Praça, Pantelis Theodoros Nikolaidis, Thomas Rosemann, Beat Knechtle
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: https://doi.org/10.3389/fpsyg.2019.01802
http://hdl.handle.net/1843/43693
https://orcid.org/ 0000-0001-9813-2842
https://orcid.org/ 0000-0001-8681-0642
http://orcid.org/0000-0001-9971-7308
https://orcid.org/ 0000-0001-8030-7122
https://orcid.org/ 0000-0002-6436-6306
https://orcid.org/ 0000-0002-2412-9103
Resumo: Outra Agência
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spelling 2022-07-27T16:31:22Z2022-07-27T16:31:22Z2019-081019https://doi.org/10.3389/fpsyg.2019.018021664-1078http://hdl.handle.net/1843/43693https://orcid.org/ 0000-0001-9813-2842https://orcid.org/ 0000-0001-8681-0642http://orcid.org/0000-0001-9971-7308https://orcid.org/ 0000-0001-8030-7122https://orcid.org/ 0000-0002-6436-6306https://orcid.org/ 0000-0002-2412-9103Outra AgênciaThe purpose of this study is twofold: (i) analyze the variations of network centralities between close (difference of goals equal to one) and unbalanced (difference of goals equal to or greater than two) scores; and (ii) compare the centrality levels between playing positions. The passing sequences that occurred during the 64 matches played by the 32 national teams that participated in the 2018 FIFA World Cup were analyzed and coded. The network centralities of degree prestige and degree centrality were calculated based on the weighted adjacency matrices built from the passing sequences. The results reveal that higher degree centralities of midfielders occurred in unfavorable (lost) unbalanced scores (p = 0.046; ES (effect size) = 0.472). Moreover, in favorable (won) matches the higher values of degree centrality of central defenders (p = 0.014; ES: 0.458) and defensive midfielders (p = 0.004; ES: 0.715) were also found in unbalanced scores. The comparisons between positions revealed that the highest and significant degree prestige levels were found in defensive midfielders in both close (12.10%) and unbalanced scores (10.95%). In conclusion, it is possible to observe that winning by an unbalanced score significantly increased the centrality levels of the wingers and forwards in comparison to close scores. Moreover, it was also found that independent of the final score or the unbalanced score level, the defensive midfielders were the most prominent or recruited players during the passing sequences.engUniversidade Federal de Minas GeraisUFMGBrasilEEF - DEPARTAMENTO DE ESPORTESFrontiers in PsychologyTeoria dos grafosRedes de relações sociaisObservaçãoJogadores de futebolDesempenhoCopa do mundo (Futebol)Graph theorySocial Network AnalysisObservational analysisAssociation footballPerformance analysisNotational analysisVariations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cupinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.frontiersin.org/articles/10.3389/fpsyg.2019.01802/fullFilipe Manuel ClementeHugo Borges SarmentoGibson Moreira PraçaPantelis Theodoros NikolaidisThomas RosemannBeat Knechtleapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGORIGINALVariations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup.pdfVariations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup.pdfapplication/pdf1147580https://repositorio.ufmg.br/bitstream/1843/43693/2/Variations%20of%20network%20centralities%20between%20playing%20positions%20in%20favorable%20and%20unfavorable%20close%20and%20unbalanced%20scores%20during%20the%202018%20FIFA%20World%20Cup.pdfeba119f58427d92ea91135afbeae5c2dMD52LICENSELicense.txtLicense.txttext/plain; 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dc.title.pt_BR.fl_str_mv Variations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup
title Variations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup
spellingShingle Variations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup
Filipe Manuel Clemente
Graph theory
Social Network Analysis
Observational analysis
Association football
Performance analysis
Notational analysis
Teoria dos grafos
Redes de relações sociais
Observação
Jogadores de futebol
Desempenho
Copa do mundo (Futebol)
title_short Variations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup
title_full Variations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup
title_fullStr Variations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup
title_full_unstemmed Variations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup
title_sort Variations of network centralities between playing positions in favorable and unfavorable close and unbalanced scores during the 2018 FIFA World Cup
author Filipe Manuel Clemente
author_facet Filipe Manuel Clemente
Hugo Borges Sarmento
Gibson Moreira Praça
Pantelis Theodoros Nikolaidis
Thomas Rosemann
Beat Knechtle
author_role author
author2 Hugo Borges Sarmento
Gibson Moreira Praça
Pantelis Theodoros Nikolaidis
Thomas Rosemann
Beat Knechtle
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Filipe Manuel Clemente
Hugo Borges Sarmento
Gibson Moreira Praça
Pantelis Theodoros Nikolaidis
Thomas Rosemann
Beat Knechtle
dc.subject.por.fl_str_mv Graph theory
Social Network Analysis
Observational analysis
Association football
Performance analysis
Notational analysis
topic Graph theory
Social Network Analysis
Observational analysis
Association football
Performance analysis
Notational analysis
Teoria dos grafos
Redes de relações sociais
Observação
Jogadores de futebol
Desempenho
Copa do mundo (Futebol)
dc.subject.other.pt_BR.fl_str_mv Teoria dos grafos
Redes de relações sociais
Observação
Jogadores de futebol
Desempenho
Copa do mundo (Futebol)
description Outra Agência
publishDate 2019
dc.date.issued.fl_str_mv 2019-08
dc.date.accessioned.fl_str_mv 2022-07-27T16:31:22Z
dc.date.available.fl_str_mv 2022-07-27T16:31:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1843/43693
dc.identifier.doi.pt_BR.fl_str_mv https://doi.org/10.3389/fpsyg.2019.01802
dc.identifier.issn.pt_BR.fl_str_mv 1664-1078
dc.identifier.orcid.pt_BR.fl_str_mv https://orcid.org/ 0000-0001-9813-2842
https://orcid.org/ 0000-0001-8681-0642
http://orcid.org/0000-0001-9971-7308
https://orcid.org/ 0000-0001-8030-7122
https://orcid.org/ 0000-0002-6436-6306
https://orcid.org/ 0000-0002-2412-9103
url https://doi.org/10.3389/fpsyg.2019.01802
http://hdl.handle.net/1843/43693
https://orcid.org/ 0000-0001-9813-2842
https://orcid.org/ 0000-0001-8681-0642
http://orcid.org/0000-0001-9971-7308
https://orcid.org/ 0000-0001-8030-7122
https://orcid.org/ 0000-0002-6436-6306
https://orcid.org/ 0000-0002-2412-9103
identifier_str_mv 1664-1078
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Frontiers in Psychology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv EEF - DEPARTAMENTO DE ESPORTES
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
bitstream.url.fl_str_mv https://repositorio.ufmg.br/bitstream/1843/43693/2/Variations%20of%20network%20centralities%20between%20playing%20positions%20in%20favorable%20and%20unfavorable%20close%20and%20unbalanced%20scores%20during%20the%202018%20FIFA%20World%20Cup.pdf
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