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100   $a20151105d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aSocial Network Analysis Applied to Team Sports Analysis /$fby Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Rui Sousa Mendes
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (101 p.)
225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-530X
300   $aDescription based upon print version of record.
311   $a3-319-25854-0 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aIntroduction -- 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;}.
330   $aExplaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches, models and methods that can be used to characterise the overall properties of team networks and identify the prominence of each team player. Exploring the different possible network metrics that can be utilised in sports analysis, their possible applications and variances from situation to situation, the respective chapters present an array of illustrative case studies. Identifying the general concepts of social network analysis and network centrality metrics, readers are shown how to generate a methodological protocol for data collection. As such, the book provides a valuable resource for students of the sport sciences, sports engineering, applied computation and the social sciences.
410  0$aSpringerBriefs in Applied Sciences and Technology,$x2191-530X
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aGraph theory
606   $aSports sciences
606   $aStatistics 
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
606   $aGraph Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M29020
606   $aSport Science $3https://scigraph.springernature.com/ontologies/product-market-codes/L29010
606   $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615  0$aGraph theory.
615  0$aSports sciences.
615  0$aStatistics .
615 14$aMathematical and Computational Engineering.
615 24$aGraph Theory.
615 24$aSport Science .
615 24$aStatistics and Computing/Statistics Programs.
676   $a620
700   $aClemente$b Filipe Manuel$4aut$4http://id.loc.gov/vocabulary/relators/aut$0763549
702   $aMartins$b Fernando Manuel Lourenço$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aMendes$b Rui Sousa$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910254207003321
996   $aSocial Network Analysis Applied to Team Sports Analysis$92517420
997   $aUNINA