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Record Nr. |
UNINA9910483397703321 |
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Autore |
Silva Frutuoso G. M |
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Titolo |
Ultimate Performance Analysis Tool (uPATO) : Implementation of Network Measures Based on Adjacency Matrices for Team Sports / / by Frutuoso G. M. Silva, Quoc Trong Nguyen, Acácio F.P.P. Correia, Filipe Manuel Clemente, Fernando Manuel Lourenço Martins |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (85 pages) |
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Collana |
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SpringerBriefs in Applied Sciences and Technology, , 2191-530X |
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Disciplina |
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Soggetti |
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Computational intelligence |
Sports sciences |
Computational Intelligence |
Sport Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Network Analysis Tools -- uPATO Tool: Overview -- uPATO: Individual metrics -- uPATO: Collective metrics -- uPATO: A Case Study. |
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Sommario/riassunto |
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This book introduces the ultimate performance analysis tool (uPATO) as a new software to compute social network metrics in the scope of team sports analysis. The reader will identify the algorithms to test the general properties of the team, the co-dependencies and the centrality levels of players, i.e. to evaluate the individual, sub-group, and team performance analysis. As uPATO tool implements the metrics for all options, namely for unweighted graphs, weighted graphs, unweighted digraphs and weighted digraphs, it is also useful for network analysis into other areas beyond team sports. The book assists the reader to compute the metrics and to use it in different scenarios. |
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