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dc.contributor.authorGobatto, Claudio
dc.contributor.authorTorres, Ricardo Da Silva
dc.contributor.authorMoura, Felipe
dc.contributor.authorCunha, Sergio
dc.contributor.authorGiacometti, Caio
dc.contributor.authorAraujo, Gustavo
dc.contributor.authorSousa, Filipe
dc.contributor.authorManchado-Gobatto, Fúlvia
dc.date.accessioned2020-08-19T11:27:30Z
dc.date.available2020-08-19T11:27:30Z
dc.date.created2020-07-27T15:33:05Z
dc.date.issued2020
dc.identifier.citationScientific Reports. 2020, 10 (8620), .en_US
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/11250/2672999
dc.description.abstractBesides technical and tactical aspects, basketball matches involve high aerobic and anaerobic capacities, conferring the final performance of a team. Thus, the evaluation of physical and technical responses is an effective way to predict the performance of athletes. Field and laboratory tests have been used in sports. The first involving high ecological validity and low cost, and the second, greater control and accuracy but not easy application, considering the different preparation phases in a season. This study aimed, through complex networks analysis, to verify whether centrality parameters analysed from significant correlations behave similarly in distinct scenarios (laboratory and on-court), emphasizing aerobic and anaerobic physical parameters and technical performances. The results showed that, in a compelling analysis involving basketball athletes, the studied centralities (degree, betweenness, eigenvector and pagerank) revealed similar responses in both scenarios, which is widely attractive considering the greater financial economy and lower time when applying tests in the field.en_US
dc.language.isoengen_US
dc.publisherNature Researchen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCorresponding Assessment Scenarios in Laboratory and On-Court Tests: Centrality Measurements by Complex Networks Analysis in Young Basketball Playersen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber10en_US
dc.source.volume10en_US
dc.source.journalScientific Reportsen_US
dc.source.issue8620en_US
dc.identifier.doi10.1038/s41598-020-65420-3
dc.identifier.cristin1820656
dc.description.localcodeOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
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