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Social network analysis applied to t...

Martins, Fernando Manuel Lourenco.

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Social network analysis applied to team sports analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Social network analysis applied to team sports analysis/ by Filipe Manuel Clemente, Fernando Manuel Lourenco Martins, Rui Sousa Mendes.
Author:	Clemente, Filipe Manuel.
other author:	Martins, Fernando Manuel Lourenco.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xii, 93 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Sports teams - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-25855-3
ISBN:	9783319258553$q(electronic bk.)

Social network analysis applied to team sports analysis
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$q(electronic bk.)

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

2180009
Sports teams
--Mathematical models.

LC Class. No.: GV706.8

Dewey Class. No.: 796.015118

Social network analysis applied to team sports analysis
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100 1 $a Clemente, Filipe Manuel. $3 2180006
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 2180009
650 0 $a Sports $x Mathematical models. $3 2180010
650 1 4 $a Engineering. $3 586835
650 2 4 $a Appl.Mathematics/Computational Methods of Engineering. $3 890892
650 2 4 $a Graph Theory. $3 1567033
650 2 4 $a Sport Science. $3 2132065
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
700 1 $a Martins, Fernando Manuel Lourenco. $3 2180007
700 1 $a Mendes, Rui Sousa. $3 2180008
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in applied sciences and technology. $3 1565541
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-25855-3
950 $a Engineering (Springer-11647)