Social Network Analysis Applied to Team Sports Analysis

✍ Scribed by Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes (auth.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 101
• Series: SpringerBriefs in Applied Sciences and Technology
• Edition: 1
• Category: Library

✦ 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.

✦ Table of Contents

Front Matter....Pages i-xii
Introduction....Pages 1-5
Social Network Analysis: Concepts and Definitions....Pages 7-17
Observational Tools to Collect Data in Team Sports....Pages 19-46
Micro Levels of Analysis: Player’s Centralities in the Team....Pages 47-64
Meso Level of Analysis: Subgroups in Teams....Pages 65-70
Macro Levels of Analysis: Network of the Team....Pages 71-83
Argentina’s Network Analysis in FIFA World Cup 2014: A Case Study....Pages 85-93

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Graph Theory; Sport Science; Statistics and Computing/Statistics Programs