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Social Network Analysis Applied to Team Sports Analysis Synopsis

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.

Book Information

ISBN: 9783319258546
Publication date: 7th November 2015
Author: Filipe Manuel Clemente, Fernando Manuel Lourenco Martins, Rui Sousa Mendes
Publisher: Springer International Publishing AG
Format: Paperback / softback
Pagination: 93 pages
Categories: Combinatorics & graph theory, Sociology: sport & leisure, Mathematical & statistical software, Maths for engineers,

About Filipe Manuel Clemente, Fernando Manuel Lourenco Martins, Rui Sousa Mendes

Filipe Manuel Clemente (Instituto Politecnico de Viana do Castelo, Escola Superior de Desporto e Lazer and Instituto Politecnico de Coimbra, Escola Superior de Educacao de Coimbra, Portugal), Fernando Manuel Lourenco Martins (Instituto de Telecomunicacoes, Delegacao da Covilha and Instituto Politecnico de Coimbra, Escola Superior de Educacao de Coimbra, Portugal) and Rui Sousa Mendes (Instituto Politecnico de Coimbra, Escola Superior de Educacao de Coimbra, Portugal) have published more than 30 articles in journals indexed on Web of Knowledge about team sports analysis based on technological and mathematical approaches. In the last five years, the research group have published five articles on network ...

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