A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport
By: P. J. Watson, J. E. Fieldsend and V.H. Stiles
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
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:
Related subjects:
© 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.