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Analyzing passing networks in association football based on the difficulty, risk, and potential of passes

? Journal of Physical Education and Sport , 15, 272. Clemente, F., Martins, F., & Mendes, R. (2016). Social network analysis applied to team sports analysis, Netherlands: Springer International Publishing. Csardi, G. & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal, Complex Systems , 1695, 1–9. Dey, P., Ganguly, M., & Roy, S. (2017). Network centrality based team formation: A case study on T-20 cricket. Applied Computing and Informatics , 13, 161–168. Dijkstra, E. (1959). A note on two problems in

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Female Sport Participation In South African Rural Schools: Analysis Of Socio-Cultural Constraints

References Abbasi, I.N. (2014) Socio-cultural barriers to attaining recommended levels of physical activity among females: A review of literature. Quest , 66(4), 448-467. Allison, K.R., Dwyer, J.J.M. & Makin, S. (1999). Perceived barriers to physical activity among high school students. Preventive Medicine, 28, 608-615. Amusa, L.O., Toriola, A.L., Onyewadume, I.U. & Dhaliwal, H.S. (2008). Perceived barriers to sport and recreation participation in Botswana. African Journal for Physical, Health Education, Recreation and Dance , 14(2), 115

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The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

. Attention, Perception, & Psychophysics, 76(2), 452-459. Carey, D. L., Ong, K., Whiteley, R., Crossley, K. M., Crow, J., & Morris, M. E. (2018). Predictive modelling of training loads and injury in Australian football. International Journal of Computer Science in Sport, 17(1), 49-66. Coker, N. A., Varanoske, A. N., Baker, K. M., Hahs-Vaughn, D. L., & Wells, A. J. (2018). Predictors of competitive success of national-level powerlifters: a multilevel analysis. International Journal of Performance Analysis in Sport, 18(5), 796-805. Cortes, C., & Vapnik, V

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Assessing the causal impact of the 3-point per victory scoring system in the competitive balance of LaLiga

, 23 (7), 669-679. Karanfil, F. (2017). An empirical analysis of European football rivalries based on on-field performances. Sport Management Review, 20 (5), 468-482. Kent, R. A., Caudill, S. B., & Mixon Jr, F. G. (2013). Rules changes and competitive balance in European professional soccer: Evidence from an event study approach. Applied Economics Letters, 20 (11), 1109-1112. Leeds, M. A., & von Allmen, P. (2009). The Economic of Sports : The Pearson Series in Economics. Lewis, R. A., Rao, J. M., & Reiley, D. H. (2011). Here, there, and

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Eye tracking in high-performance sports: Evaluation of its application in expert athletes

References Abernethy, B. (1987). Review: Selective attention in fast ball sports: Expert-novice differences. The Australian Journal of Science and Medicine in Sport, 19 , 7-16. Abernethy, B. (1990). Expertise, visual search, and information pick-up in squash. Perception, 19 , 63-77. Abernethy, B. (2001). Attention. In R. N. Singer, H. A. Hausenblas, & C. M. Janelle (Eds.), Handbook of sport psychology (2nd ed., pp. 53-85). New York: Wiley & Sons. Adolphe, R. M., Vickers, J. N., & Laplante, G. (1997). The effects of training visual

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Computer Science in Sport – Research and Practice: A book review

References Baca, A. (2015). Computer Science in Sport: Research and Practice . London and New York: Routledge. Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., & Fei-Fei, L. (2014) Large-scale Video Classification with Convolutional Neural Networks . In Proceedings of International Computer Vision and Pattern Recognition (CVPR 2014). Memmert, D., & Perl, J. (2009). Game creativity analysis using neural networks. Journal of Sports Sciences, 27 (2), 139-149. Silva, A. J., Costa, A. M., Oliveira, P. M., Reis, V. M

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Decision Support System for Mitigating Athletic Injuries

.), Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence , (139-147). San Francisco, CA: Morgan Kaufmann Publishers, Inc. Fuster-Parra, P., Garcia-Mas, A., Ponseti, F., Palou, P., & Cruz, J. (2014). A bayesian network to discover relationships between negative features in sport: A case study of teen players. Quality & Quantity 48, 1473-1491. Gabbett, T. (2010). The development and application of an injury prediction model for noncontact, soft-tissue injuries in elite collision sport athletes. Journal of Strength and Conditioning

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Probabilistic models comparing Fast4 and traditional tennis

References Arias, J. L., Argudo, F. M., & Alonso, J. I. (2011). Review of Rule Modification in Sport. Journal of Sports Science & Medicine , 10 (1), 1–8. Baodong, Y. (2014). Hawkeye technology using tennis match. Computer Modelling and New Technologies, 18 (12C), 400-402. Brabenec, J. (1996). If a player knows how, then when is the important question. ITF Coaching and Sport Science Review , 10 , 7-8. Brody, H. (1996). The modern tennis racket. The Engineering of Sport , 79-82. Carter, W.H., & Crews, S.L. (1974). An analysis of

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The Relationship between Motivation of Social Viewing Experiences, Satisfaction, and Loyalty in Sports Broadcasting

on the use and gratification theory. Journal of Cybercommunication Academic Society, 28 (1), 165-201. Han, K. S., & Ahn, Y. K. (2010). An exploration on the identity of Korean sport broadcast commentator. Journal of Korean Philosophic Society for Sport and Dance, 18 (3), 185-201. Han, S. (2013). A study on the factors affected the using intention of smart phone. Korean Corporation Management Review, 20 (3), 107-122. Harboe, G., Massey, N., Metcalf, C., Wheatley, D., & Romano, G. (2008). The uses of social television. Computers in Entertainment

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