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Ultimate Performance Analysis Tool (uPATO) - Implementation of Network Measures Based on Adjacency Matrices for Team Sports

of: Frutuoso G. M. Silva, Quoc Trong Nguyen, Ac?cio F.P.P. Correia, Filipe Manuel Clemente, Fernando Man

Springer-Verlag, 2018

ISBN: 9783319997537 , 76 Pages

Format: PDF

Copy protection: DRM

Windows PC,Mac OSX,Windows PC,Mac OSX geeignet für alle DRM-fähigen eReader Apple iPad, Android Tablet PC's

Price: 53,49 EUR



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Ultimate Performance Analysis Tool (uPATO) - Implementation of Network Measures Based on Adjacency Matrices for Team Sports


 

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.


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 Telecomunica??es (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 Telecomunicac?es, Universidade da Beira Interior, Covilh?, Portugal.  His research interests include geometric computing, point-based graphics, and visualization.

Ac?cio 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  Polit?cnico  de Viana do Castelo and researcher in Instituto de Telecomunica??es, Delega??o da Covilh? (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  Louren?o  Martins is the Scientific Coordinator of Applied Mathematics group in Instituto de Telecomunica??es, Delega??o  da  Covilh?,  Portugal  and  Professor  and  Course  Director  of  Basic Education in Instituto Polit?cnico 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.