Authors:
- Explains how graph theory and social network analysis can be applied to team sport analysis
- Explores the different possible network metrics that can be utilised in sports analysis
- Identifies the general concepts of social network analysis and network centrality metrics
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
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Table of contents (7 chapters)
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Front Matter
About this book
Explaining how graph theory and social network analysis can be applied to team sports analysis,
This book presents useful approaches, models and methods that can be used to characterise the overall properties of team networks and identify the prominence of each team player.Exploring the different possible network metrics that can be utilised in sports analysis, their possible applications and variances from situation to situation, the respective chapters present an array of illustrative case studies. Identifying the general concepts of social network analysis and network centrality metrics, readers are shown how to generate a methodological protocol for data collection. As such, the book provides a valuable resource for students of the sport sciences, sports engineering, applied computation and the social sciences.
Authors and Affiliations
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Escola Superior de Desporto e Lazer, Institut Politécnico de Viana do Castelo, Portugal
Filipe Manuel Clemente
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Delegação da Covilhã, Covilhã Portugal &, Instituto de Telecomunicações, Portugal
Fernando Manuel Lourenço Martins
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Escola Superior de Educação, Instituto Politécnico de Coimbra, Portugal
Rui Sousa Mendes
About the authors
Bibliographic Information
Book Title: Social Network Analysis Applied to Team Sports Analysis
Authors: Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-319-25855-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2016
Softcover ISBN: 978-3-319-25854-6Published: 16 November 2015
eBook ISBN: 978-3-319-25855-3Published: 06 November 2015
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XII, 93
Number of Illustrations: 10 illustrations in colour
Topics: Mathematical and Computational Engineering, Graph Theory, Sport Science , Statistics and Computing/Statistics Programs