[
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