Acceso abierto

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


Cite

Arksey, H., & O’Malley, L. (2005). Scoping studies: Towards a methodological framework. Int J Soc Res Meth, 8(1), 19-32. doi: 10.1080/136455703200011961610.1080/1364557032000119616 Search in Google Scholar

Atkins, J., & Boman, E.(1998). A spectral algorithm for seriation and the consecutive ones problem, SIAM J Comput. 28(1), 297–310. doi: 10.1137/S009753979528577110.1137/S0097539795285771 Search in Google Scholar

Bailey, J.A., Gastin, P.B., Mackey, L., Dwyer, D.B. (2017). The Player Load Associated With Typical Activities in Elite Netball. Int J Sports Physiol Perform. 12(9), 1218-1223. doi: 10.1123/ijspp.2016-037810.1123/ijspp.2016-037828182504 Search in Google Scholar

Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique Identification. J Math Social. 2(1), 113–120. doi: 10.1080/0022250X.1972.998980610.1080/0022250X.1972.9989806 Search in Google Scholar

dos Santos, R.P., & Lopes, G.R. (2019). Thematic series on Social Network Analysis and Mining. J Internet Serv Appl 10, 14. doi: 10.1186/s13174-019-0113-z10.1186/s13174-019-0113-z Search in Google Scholar

Bourdon, P., Cardinale, M., Murray, A., Gastin, P., Kellmann, M., Varley, M., Gabbett, T., Coutts, A., Burgess, D., Gregson, W., & Cable, T. (2017). Monitoring Athlete Training Loads: Consensus Statement. Int J Sports Physiol Perform, 12(S12), S2161-S2170. doi: 10.1123/IJSPP.2017-020810.1123/IJSPP.2017-020828463642 Search in Google Scholar

Buchheit, M., Simpson, M., Al Haddad, H., Bourdon, P., & Mendez-Villanueva, A. (2012). Monitoring changes in physical performance with heart rate measures in young soccer players. Eur J Appl Physiol, 112(2), 711-23. doi: 10.1007/s00421-011-2014-010.1007/s00421-011-2014-021656232 Search in Google Scholar

Campbell, B., Bove, D., Ward, P., Vargas, A., & Dolan, J. (2017). Quantification of Training Load and Training Response for Improving Athletic Performance. Str Cond J, 39(5), 3-13. Doi: 10.1519/SSC.000000000000033410.1519/SSC.0000000000000334 Search in Google Scholar

Coyne, J.O., Haff, G.G, Coutts, A,J., Newton, R.U., & Nimphius, S. (2018). The current state of subjective training load monitoring – A practical perspective and call to action. Sports medicine-open. 4(1), 58. doi: 10.1186/s40798-018-0172-x10.1186/s40798-018-0172-x630190630570718 Search in Google Scholar

Drew, M., & Finch, C. (2016). The Relationship Between Training Load and Injury, Illness and Soreness: A Systematic and Literature Review. J Sports Med. 46, 861-83. doi: 10.1007/s40279-015-0459-810.1007/s40279-015-0459-826822969 Search in Google Scholar

Freeman, L. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41. doi: 10.2307/303354310.2307/3033543 Search in Google Scholar

Fiedler, M. (1973). Algebraic connectivity of graphs. Czech Math J, 23, 298–305. doi: 10.21136/CMJ.1973.10116810.21136/CMJ.1973.101168 Search in Google Scholar

Fruchterman, T. & Reingold, E. (1991), Graph drawing by force directed placement. Softw: Pract. Exper. 21, 1129-1164. doi:10.1002/spe.438021110210.1002/spe.4380211102 Search in Google Scholar

Haddad, M., Stylianides, G., Djaoui, L., Dellal, A., & Chamari, K. (2017). Session-RPE Method for Training Load Monitoring: Validity, Ecological Usefulness, and Influencing Factors. Frontiers in Neuroscience. 11, 612. doi: 10.3389/fnins.2017.0061210.3389/fnins.2017.00612567366329163016 Search in Google Scholar

Halson, S. (2014). Monitoring Training Load to Understand Fatigue in Athletes. Sports Med. 44(S2), 139-147. doi: 10.1007/s40279-014-0253-z10.1007/s40279-014-0253-z421337325200666 Search in Google Scholar

Himelboim, I. (2017). Social Network Analysis (Social Media). In The International Encyclopedia of Communication Research Methods (eds J. Matthes, C.S. Davis and R.F. Potter). doi: 10.1002/9781118901731.iecrm023610.1002/9781118901731.iecrm0236 Search in Google Scholar

Impellizzeri, F.M., Marcora, S.M., Coutts, A.J. (2019). Internal and External Training Load: 15 Years On. Int J Sports Physiol Perform. 14(2), 270-273. doi: 10.1123/ijspp.2018-093510.1123/ijspp.2018-093530614348 Search in Google Scholar

Impellizzeri, F.M., Menaspà, P., Coutts, A.J., Kalkhoven, J., Menaspà, M.J. (2020). Training Load and Its Role in Injury Prevention, Part I: Back to the Future. J Athl Train. 55(9), 885-892. doi: 10.4085/1062-6050-500-1910.4085/1062-6050-500-19753494532991701 Search in Google Scholar

Impellizzeri, F.M., McCall, A., Ward, P., Bornn, L., & Coutts, A.J. (2020). Training Load and Its Role in Injury Prevention, Part 2: Conceptual and Methodologic Pitfalls. J Athl Train. 55(9), 893-901. doi: 10.4085/1062-6050-501-1910.4085/1062-6050-501-19753493832991699 Search in Google Scholar

Leppink, J., & Pérez-Fuster, P. (2019). Social Networks as an Approach to Systematic review. Health professions Education. 5(3), 218-224. doi: 10.1016/j.hpe.2018.09.002.10.1016/j.hpe.2018.09.002 Search in Google Scholar

Newton, M., Owen, A., & Baker, J. (2019). Monitoring External and Internal Training Loads: Relationships with Injury Risk in Professional Soccer: A Review. EC Orthopaedics, 10(9), 686-697. Retrieved from https://www.ecronicon.com/ecor/pdf/ECOR-10-00478.pdf Search in Google Scholar

Sabidussi, G. (1966). The centrality index of a graph. Psychometrika, 31, 581–603. doi: 10.1007/BF0228952710.1007/BF022895275232444 Search in Google Scholar

Sands, W. Kavanaugh, A. Murray, S. McNeal, J. & Jemni, M. (2017). Modern Techniques and Technologies Applied to Training and Performance Monitoring. Int J Sports Physiol Perform, 12(S2), S2-63-S2-72. doi: 10.1123/ijspp.2016-040510.1123/ijspp.2016-040527918664 Search in Google Scholar

Staunton, C., Wundersitz, D., Gordon, B., Kingsley, M. (2017). Construct Validity of Accelerometry-Derived Force to Quantify Basketball Movement Patterns. Int J Sports Med. 38(14),1090-1096. doi: 10.1055/s-0043-11922410.1055/s-0043-11922428965347 Search in Google Scholar

Saw, A., Luana, C., & Gastin, P. (2016). Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review. Brit J Sports Med, 50, 281-291. doi: 10.1136/bjsports-2015-09475810.1136/bjsports-2015-094758478970826423706 Search in Google Scholar

Soligard, T., Schwellnus, M., T., Alonso, J., Bahr, R., Clarsen, B., Dijkstra, P., Gabbett, T., Glesson, M., Hägglund, M., Hutchinson, M., Van Rensburg, C., Khan, K., Meeusen, R., Orchard, J., Pluim, B., Raftery, M., Budgett, R., Engebretsen, L. (2016). How much is too much? (Part 1) International Olympic Committee consensus statement on load in sport and risk of injury. Brit J Sports Med, 50, 1030-1041. doi: 10.1136/bjsports-2016-09658110.1136/bjsports-2016-09658127535989 Search in Google Scholar

Schwellnus, M., Soligard, T., Alonso, J., Bahr, R., Clarsen, B., Dijkstra, P., Gabbett, T., Glesson, M., Hägglund, M., Hutchinson, M., Van Rensburg, C., Meeusen, R., Orchard, J., Pluim, B., Raftery, M., Budgett, R., Engebretsen, L. (2016). How much is too much? (Part 2) International Olympic Committee consensus statement on load in sport and risk of illness. Brit J Sports Med, 50, 1043-1052. doi: 10.1136/bjsports-2016-09657210.1136/bjsports-2016-096572501308727535991 Search in Google Scholar

Slininger, B. (2013): Fiedler’s Theory of Spectral Graph Partitioning. University of California. Retrieved from http://www.cs.ucdavis.edu/~bai/ECS231/returnsfinal/Slininger.pdf Search in Google Scholar

Theodoropoulos, J.S., Bettle, J., & Kosy, J.D. (2020). The use of GPS and inertial devices for player monitoring in team sports: A review of current and future applications. Orthopedic reviews. 12(1). 7863. https://doi.org/10.4081/or.2020.786310.4081/or.2020.7863720636332391130 Search in Google Scholar

Tricco, A., Lillie, E., Zarin, W., O’Brien, K., Colquhoun, H., Levac, D., & et al. (2018). PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med, 169(7), 467–473. doi: 10.7326/M18-085010.7326/M18-085030178033 Search in Google Scholar

Walker, D., Everson, R., & Fieldsend, J. (2013). Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization. IEEE Transactions on Evolutionary Computation, 17(2), 165-184. doi: 10.1109/TEVC.2012.222506410.1109/TEVC.2012.2225064 Search in Google Scholar

Williams, S., Trewartha, G., Cross, M., Kemp, S., & Stokes, K. (2016). Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures. Int J Sports Physiol Perform, 12(S2), S2-101-S2-106. doi: 10.1123/ijspp.2016-033710.1123/ijspp.2016-033727834553 Search in Google Scholar

von Luxburg, U. (2007). A Tutorial on Spectral Clustering. Stat Comput, 17(4), 395–416. doi: 10.1007/s11222-0010.1007/s11222-007-9033-z Search in Google Scholar

Young, C.M., Gastin, P.B., Sanders, N., Mackey, L., Dwyer, D.B. (2016). Player Load in Elite Netball: Match, Training, and Positional Comparisons. Int J Sports Physiol Perform. 11(8), 1074-1079. doi: 10.1123/ijspp.2015-015610.1123/ijspp.2015-015627001768 Search in Google Scholar

eISSN:
1684-4769
Idioma:
Inglés
Calendario de la edición:
2 veces al año
Temas de la revista:
Computer Sciences, Databases and Data Mining, other, Sports and Recreation, Physical Education