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A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport Cover

A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport

International Journal of Computer Science in Sport
Volume 20 (2021): Issue 2 (December 2021)
By: P. J. Watson,  J. E. Fieldsend and  V.H. Stiles  
Open Access
|Nov 2021

Authors

P. J. Watson

Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter

J. E. Fieldsend

Computer Science, College of Engineering, Mathematics and Physical Sciences, University of Exeter

V.H. Stiles

Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter
DOI: https://doi.org/10.2478/ijcss-2021-0011 | Journal eISSN: 1684-4769
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Language: English
Page range: 175 - 197
Published on: Nov 28, 2021
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
TRAINING LOAD,
ATHLETE MONITORING,
ACCELEROMETRY,
CENTRALITY,
FIEDLER VECTOR
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2021 P. J. Watson, J. E. Fieldsend, V.H. Stiles, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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