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Social Network Analysis Applied to Team Sports Analysis

  • Book
  • © 2016

Overview

Authors:
  1. Filipe Manuel Clemente

    1. Escola Superior de Desporto e Lazer, Institut Politécnico de Viana do Castelo, Portugal

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  2. Fernando Manuel Lourenço Martins

    1. Delegação da Covilhã, Covilhã Portugal &, Instituto de Telecomunicações, Portugal

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  3. Rui Sousa Mendes

    1. Escola Superior de Educação, Instituto Politécnico de Coimbra, Portugal

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  • 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)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    • Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes
    Pages 1-5

  3. Social Network Analysis: Concepts and Definitions

    • Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes
    Pages 7-17

  4. Observational Tools to Collect Data in Team Sports

    • Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes
    Pages 19-46

  5. Micro Levels of Analysis: Player’s Centralities in the Team

    • Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes
    Pages 47-64

  6. Meso Level of Analysis: Subgroups in Teams

    • Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes
    Pages 65-70

  7. Macro Levels of Analysis: Network of the Team

    • Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes
    Pages 71-83

  8. Argentina’s Network Analysis in FIFA World Cup 2014: A Case Study

    • Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes
    Pages 85-93
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Keywords

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

  • Escola Superior de Desporto e Lazer, Institut Politécnico de Viana do Castelo, Portugal

    Filipe Manuel Clemente

  • Delegação da Covilhã, Covilhã Portugal &, Instituto de Telecomunicações, Portugal

    Fernando Manuel Lourenço Martins

  • Escola Superior de Educação, Instituto Politécnico de Coimbra, Portugal

    Rui Sousa Mendes

About the authors

Filipe Manuel Clemente (Instituto Politécnico de Viana do Castelo, Escola Superior de Desporto e Lazer and Instituto Politécnico de Coimbra, Escola Superior de Educação de Coimbra, Portugal), Fernando Manuel Lourenço Martins (Instituto de Telecomunicações, Delegação da Covilhã and Instituto Politécnico de Coimbra, Escola Superior de Educação de Coimbra, Portugal) and Rui Sousa Mendes (Instituto Politécnico de Coimbra, Escola Superior de Educação 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 analysis applied to team sports analysis. In addition, they have been working on a software (Performance Analysis Tool) to increase the possibilities of network analysis in the field of match analysis.

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