Silva / Nguyen / Correia Ultimate Performance Analysis Tool (uPATO)

Implementation of Network Measures Based on Adjacency Matrices for Team Sports
1. Auflage 2018
ISBN: 978-3-319-99753-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 76 Seiten, eBook

Reihe: SpringerBriefs in Applied Sciences and Technology

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.

Zielgruppe

Research

Autoren/Hrsg.

Silva, Frutuoso G. M.

Nguyen, Quoc Trong

Correia, Acácio F.P.P.

Clemente, Filipe Manuel

Martins, Fernando Manuel Lourenço

Man, Fernando

Inhaltsverzeichnis

Network Analysis Tools.- uPATO Tool: Overview.- uPATO: Individual metrics.- uPATO: Collective metrics.- uPATO: A Case Study.

Über Autor(innen)

1) 
Frutuoso G. M. Silva
is Assistant Professor at the Department of Computer Science at UBI and leader of the Regain group of Instituto de Telecomunicações (IT), Portugal. His research interests include geometric modeling, augmented reality, and computer games. 
Quoc Trong Nguyen
 is a PhD student and researcher at the Instituto de Telecomunicacões, Universidade da Beira Interior, Covilhã, Portugal.  His research interests include geometric computing, point-based graphics, and visualization.
Acácio F. P. P. Correia
has recently finished a Master’s Degree in Computer Science and Engineering, at the Universidade da Beira Interior. His professional interests include procedural generation, artificial intelligence,  natural  language  processing,  cryptography  and  video  game development.
Filipe  Manuel  Clemente
is  Assistant  Professor  at the  Instituto  Politécnico  de Viana do Castelo and researcher in Instituto de Telecomunicações, Delegação da Covilhã (Portugal). He has conducted studies in performance analysis, match analysis, computational tactical metrics, network analysis applied to team sports analysis, small-sided and conditioned games, physical activity and health and sports medicine. 
Fernando  Manuel  Lourenço  Martins
is the Scientific Coordinator of Applied Mathematics group in Instituto de Telecomunicações, Delegação  da  Covilhã,  Portugal  and  Professor  and  Course  Director  of  Basic Education in Instituto Politécnico de Coimbra. His research interests include advances in network analysis applied to team sports and assessment of inter-actions between children, statistical analysis in team sports and mathematical and statistical knowledge for teaching.