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Social network analysis applied to t...

Clemente, Filipe Manuel.

Social network analysis applied to team sports analysis[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	796.015118
書名/作者:	Social network analysis applied to team sports analysis/ by Filipe Manuel Clemente, Fernando Manuel Lourenco Martins, Rui Sousa Mendes.
作者:	Clemente, Filipe Manuel.
其他作者:	Martins, Fernando Manuel Lourenco.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xii, 93 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Sports teams - Mathematical models.
標題:	Sports - Mathematical models.
標題:	Engineering.
標題:	Appl.Mathematics/Computational Methods of Engineering.
標題:	Graph Theory.
標題:	Sport Science.
標題:	Statistics and Computing/Statistics Programs.
ISBN:	9783319258553
ISBN:	9783319258546
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-25855-3

Social network analysis applied to team sports analysis[electronic resource] /
Clemente, Filipe Manuel.

Social network analysis applied to team sports analysis[electronic resource] /by Filipe Manuel Clemente, Fernando Manuel Lourenco Martins, Rui Sousa Mendes. - Cham :Springer International Publishing :2016. - xii, 93 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

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.

ISBN: 9783319258553

Standard No.: 10.1007/978-3-319-25855-3doiSubjects--Topical Terms:

652939
Sports teams
--Mathematical models.

LC Class. No.: GV706.8

Dewey Class. No.: 796.015118

Social network analysis applied to team sports analysis[electronic resource] /
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100 1 $a Clemente, Filipe Manuel. $3 639675
245 1 0 $a Social network analysis applied to team sports analysis $h [electronic resource] / $c by Filipe Manuel Clemente, Fernando Manuel Lourenco Martins, Rui Sousa Mendes.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xii, 93 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
520 $a 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.
650 0 $a Sports teams $x Mathematical models. $3 652939
650 0 $a Sports $x Mathematical models. $3 652940
650 1 4 $a Engineering. $3 372756
650 2 4 $a Appl.Mathematics/Computational Methods of Engineering. $3 463859
650 2 4 $a Graph Theory. $3 466209
650 2 4 $a Sport Science. $3 604552
650 2 4 $a Statistics and Computing/Statistics Programs. $3 463725
700 1 $a Martins, Fernando Manuel Lourenco. $3 652937
700 1 $a Mendes, Rui Sousa. $3 652938
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