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03943nam a22005655i 4500 |
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978-3-319-25855-3 |
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DE-He213 |
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20151105221525.0 |
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cr nn 008mamaa |
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151105s2016 gw | s |||| 0|eng d |
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|a 9783319258553
|9 978-3-319-25855-3
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|a 10.1007/978-3-319-25855-3
|2 doi
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|a TA329-348
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|a MAT003000
|2 bisacsh
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|a 519
|2 23
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|a Clemente, Filipe Manuel.
|e author.
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|a Social Network Analysis Applied to Team Sports Analysis
|h [electronic resource] /
|c by Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes.
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| 250 |
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|a 1st ed. 2016.
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| 264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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| 300 |
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|a XII, 93 p. 10 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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| 505 |
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|a Introduction -- Social Network Analysis: Concepts and definitions -- Observational tools to collect data in team sports -- Micro Levels of analysis: P layer’s centralities in the team -- Meso Level of analysis: Subgroups in Teams -- Macro Levels of analysis: Network of the team -- Argentina’s Network Analysis in FIFA World Cup 2014: A case study. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}.
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|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.
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| 650 |
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|a Engineering.
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| 650 |
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|a Sports sciences.
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| 650 |
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|a Graph theory.
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| 650 |
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|a Statistics.
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| 650 |
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|a Applied mathematics.
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| 650 |
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|a Engineering mathematics.
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| 650 |
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|a Engineering.
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| 650 |
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|a Appl.Mathematics/Computational Methods of Engineering.
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| 650 |
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|a Graph Theory.
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| 650 |
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4 |
|a Sport Science.
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| 650 |
2 |
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|a Statistics and Computing/Statistics Programs.
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| 700 |
1 |
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|a Martins, Fernando Manuel Lourenço.
|e author.
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| 700 |
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|a Mendes, Rui Sousa.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319258546
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| 830 |
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-25855-3
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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