Repository logo
 
Publication

Social network analysis : mathematical models for understanding professional football in game critical moments : an exploratory study

2022Journal article Open access
Simple item page
dc.contributor.authorA, Diana
dc.contributor.authorPedrosa, Isabel
dc.contributor.authorMendes, Rui
dc.contributor.authorM. L. Martins, Fernando
dc.contributor.authorFrancisco, João
dc.contributor.authorGomes, Ricardo
dc.contributor.authorDias, Gonçalo
dc.date.accessioned2023-09-26T10:41:24Z
dc.date.available2023-09-26T10:41:24Z
dc.date.issued2022
dc.description.abstractConsidering the Social Network Analysis approach and based on the creation of mathematical models, the aim of this study is to analyze the players’ interactions of professional football teams in critical moments of the game. The sample consists in the analysis of a 2019/2020 season UEFA Champions League match. The mathematical models adopted in the analysis of the players (micro analysis) and the game (macro analysis) were obtained through the uPATO software. The results of the networks indicated a performance pattern trend more robust in terms of the mathematical model: Network Density. As far as it concerned, we found that the Centroid Players had a decisive role in the level of connectivity and interaction of the team. Regarding the main critical moments of the game, the results showed that these were preceded by periods of great instability, obtaining a differentiated performance in the following mathematical models: Centrality, Degree Centrality, Closeness Centrality, and Degree Prestige. We concluded that the networks approach, in concomitance with the dynamic properties of mathematical models, and the critical moments of the game, can help coaches to better evaluate the level of interaction and connectivity of their players toward the actions imposed by opponents.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doihttps://doi.org/10.3390/app12136433pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/46750
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.subjectfootballpt_PT
dc.subjectmatch critical eventspt_PT
dc.subjectmathematical modelspt_PT
dc.subjectnetwork analysispt_PT
dc.titleSocial network analysis : mathematical models for understanding professional football in game critical moments : an exploratory studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceBaselpt_PT
oaire.citation.endPage12pt_PT
oaire.citation.issue13pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleApplied Sciencespt_PT
oaire.citation.volume12pt_PT
person.familyNamePedrosa
person.familyNameMendes
person.familyNameMartins
person.familyNameGomes
person.familyNameDias
person.givenNameIsabel
person.givenNameRui
person.givenNameFernando Manuel Lourenço
person.givenNameRicardo
person.givenNameGonçalo Nuno Figueiredo
person.identifier722571
person.identifier0000000070715256
person.identifier1146218
person.identifier1146183
person.identifier.ciencia-id591D-FEFC-B4E3
person.identifier.ciencia-idA71F-1E22-D496
person.identifier.ciencia-id8512-5BB4-6DFD
person.identifier.ciencia-idB81F-157E-40DE
person.identifier.ciencia-id131E-C0FA-7834
person.identifier.orcid0000-0003-4713-2759
person.identifier.orcid0000-0002-2433-5193
person.identifier.orcid0000-0002-1812-2300
person.identifier.orcid0000-0003-2310-1560
person.identifier.orcid0000-0002-3774-6661
person.identifier.ridAAK-6934-2020
person.identifier.ridM-5783-2018
person.identifier.scopus-author-id15019788100
person.identifier.scopus-author-id54881476100
person.identifier.scopus-author-id57217191490
person.identifier.scopus-author-id57206486165
person.identifier.scopus-author-id14324779000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationbb2f88f0-5e79-4e8f-83cb-fc71ab7811bc
relation.isAuthorOfPublicationb75ec7e9-b217-42e1-9df0-a340e34ca0d0
relation.isAuthorOfPublication805fc13a-0e76-4f11-9d4c-0dc177f8145c
relation.isAuthorOfPublicationc751bc04-22e7-4ca8-a4f7-add4bd4671b8
relation.isAuthorOfPublication45754c5a-e464-4564-8bb3-befbd77e85ad
relation.isAuthorOfPublication.latestForDiscoveryc751bc04-22e7-4ca8-a4f7-add4bd4671b8

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
applsci-12-06433-v2 (1).pdf
Size:
2.67 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.85 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESEC - Artigos em revistas