Network-based centrality measures and physical demands in football regarding player position: Is there a connection? A preliminary study

References

• Ade, J., Fitzpatrick, J., & Bradley, P. S. (2016). High-intensity efforts in elite soccer matches and associated movement patterns, technical skills and tactical actions. Information for position-specific training drills. Journal of Sports Sciences, 34(24), 2205–2214.
   PubMed Web of Science ®Google Scholar
• Batterham, A. M., & Hopkins, W. G. (2006). Making inferences about magnitudes. International Journal of Sports Physiology and Performance, 1(1), 50–57.
   PubMed Web of Science ®Google Scholar
• Carling, C. (2013). Interpreting physical soccer? Should we be more pragmatic in our approach? Sports Medicine, 43(8), 655–663.
   PubMed Web of Science ®Google Scholar
• Castellano, J., Álvarez-Pastor, D., & Bradley, P. S. (2014). Evaluation of research using computerised tracking systems (Amisco® and Prozone®) to analyse physical performance in elite soccer: A systematic review. Sports Medicine, 44(5), 701–712.
   PubMed Web of Science ®Google Scholar
• Castellano, J., & Blanco-Villaseñor, A. (2015). Análisis de la variabilidad de desplazamiento de futbolistas de élite durante una temporada competitiva a partir de un modelo mixto multivariable. Cuadernos de Psicologia del Deporte, 15, 161–168.
   Google Scholar
• Clemente, F. M., Couceiro, M. S., Martins, F. M. L., Ivanova, M. O., & Mendes, R. (2013). Activity profiles of soccer players during the 2010 World Cup. Journal of Human Kinetics, 38(1), 201–211.
   PubMed Web of Science ®Google Scholar
• Clemente, F. M., Couceiro, M. S., Martins, F. M. L., & Mendes, R. (2015a). Using network metrics in soccer: A macro-analysis. Journal of Human Kinetics, 45(1), 123–134.
   PubMed Web of Science ®Google Scholar
• Clemente, F. M., Martins, F. M. L., Couceiro, M. S., Mendes, R. S., & Figueiredo, A. J. (2014). A network approach to characterize the teammates’ interactions on football: A single match analysis. Cuadernos de Psicología Del Deporte, 14(3), 141–148.
   Google Scholar
• Clemente, F. M., Martins, F. M. L., Kalamaras, D., Wong, D. P., & Mendes, R. S. (2015b). General network analysis of national soccer teams in FIFA World Cup 2014. International Journal of Performance Analysis in Sport, 15(1), 80–96.
   Web of Science ®Google Scholar
• Clemente, F. M., Martins, F. M. L., & Mendes, R. S. (2016b). Analysis of scored and conceded goals by a football team throughout a season: A network analysis. Kinesiology, 48(1), 103–114.
   Web of Science ®Google Scholar
• Clemente, F. M., Martins, F. M. L., Wong, D. P., Kalamaras, D., & Mendes, R. S. (2015c). Midfielder as the prominent participant in the building attack: A network analysis of national teams in FIFA World Cup 2014. International Journal of Performance Analysis in Sport, 15(2), 704–722.
   Web of Science ®Google Scholar
• Clemente, F. M., Oliveira, F. J. N., Martins, F. M. L., Mendes, R. S., Figueiredo, A. J., Wong, D. P., & Kalamaras, D. (2016a). Network structure and centralization tendencies in professional football teams from Spanish La Liga and English Premier leagues. Journal of Human Sport and Exercise, 11(3), 376–389.
   Web of Science ®Google Scholar
• Clemente, F. M., Silva, F., Martins, F. M. L., Kalamaras, D., & Mendes, R. S. (2016c). Performance analysis tool for network analysis on team sports: A case study of FIFA Soccer World Cup 2014. Proceedings of the institution of mechanical engineers, Part P. Journal of Sports Engineering and Technology, 230(3), 158–170.
   Google Scholar
• Collet, C. (2013). The possession game? A comparative analysis of ball retention and team success in European and international football, 2007–2010. Journal of Sports Sciences, 31(2), 123–136.
   PubMed Web of Science ®Google Scholar
• Correa da Rocha, L. E. (2011). Exploring patterns of empirical networks (Doctoral Thesis). Department of Physics, Umeâ University. https://www.diva-portal.org/smash/get/diva2:439205/FULLTEXT01.pdf
   Google Scholar
• Cotta, C., Mora, A. M., Merelo, J. J., & Merelo-Molina, C. (2013). A network analysis of the 2010 FIFA world cup champion team play. Journal of Systems Science and Complexity, 26(1), 21–42.
   Web of Science ®Google Scholar
• Di Salvo, V., Collins, A., McNeill, B., & Cardinale, M. (2006). Validation of Prozone: A new video-based performance analysis system. International Journal of Performance Analysis in Sport, 6, 108–119.
   Google Scholar
• Diquigiovanni & Scarpa. (2018). Analysis of association football playing styles: An innovative method to cluster networks. Retrieved from https://arxiv.org/abs/1805.10933
   Google Scholar
• Duch, J., Waitzman, J. S., & Nunes Amaral, L. A. (2010). Quantifying the performance of individual players in a team activity. PloS one, 5(6), 1–7.
   Web of Science ®Google Scholar
• Fernández-Navarro, J., Fradua, L., Zubillaga, A., Ford, P. R., & Y McRobert, A. P. (2016). Attacking and defensive styles of play in soccer: Analysis of Spanish and English elite teams. Journal of Sports Sciences, 34(24), 2195–2204.
   PubMed Web of Science ®Google Scholar
• Fernández-Navarro, J., Fradua, L., Zubillaga, A., & Mcrobert, A. P. (2018). Influence of contextual variables on style of play in soccer. International Journal of Performance Analysis in Sport, 18(3), 423–436.
   Web of Science ®Google Scholar
• Gama, J., Couceiro, M., Dias, G., & Vas, V. (2015). Small-world networks in professional football: Conceptual model and data. European Journal of Movement, 35, 85–113.
   Web of Science ®Google Scholar
• Gonçalves, B. V., Coutinho, D., Santos, S., Lago-Peñas, C., Jiménez, S., & Sampaio, J. (2017). Exploring team passing networks and player movement dynamics in youth association football. PloS one, 1(31), 1–13.
   Google Scholar
• Gonçalves, B. V., Figueira, B. E., Maçãs, V., & Sampaio, J. (2014). Effect of player position on movement behaviour, physical and physiological performances during an 11-a-side football game. Journal of Sports Sciences, 32(2), 191–199.
   PubMed Web of Science ®Google Scholar
• Gould, P., & Gatrell, A. (1979/1980). A structural analysis of a game: The liverpool vs. Manchester united cup final of 1977. Social Networks, 2(3), 253–273.
   Web of Science ®Google Scholar
• Grund, T. U. (2012). Network structure and team performance: The case of english premier league soccer teams. Social Networks, 34, 682–690.
   Web of Science ®Google Scholar
• Gudmundsson, J., & Horton, M. (2016). Spatio-temporal analysis of team sports: A survey. doi:10.1145/3054132
   Google Scholar
• Hoppe, M. W., Slomka, M., Baumgart, C., Weber, H., & Freiwald, J. (2015). Match running performance and success across a season in German Bundesliga soccer teams. International Journal of Sports Medicine, 36(07), 563–566.
   PubMed Web of Science ®Google Scholar
• Kalamaras, D. (2014). The SocNetV manual social networks visualizer (2014). Retrievd from http://socnetv.org/
   Google Scholar
• Korte & Lames. (2018). Characterizing different team sports using network analysis. Current Issue in Sport Science, 3, 005.
   Google Scholar
• Peña, J. L., & Touchette, H. (2012). A network theory analysis of football strategies. In C. Clanet (Ed.), Sports physics: Proc. Euromech physics of sports conference (pp. 517–528). Retrieved from https://arxiv.org/abs/1206.6904
   Google Scholar
• Pina, T. J., Paulo, A., & Araújo, D. (2017). Network characteristics of successful performance in association football. A study on the UEFA champions league. Frontiers in Psychology, 8(July). doi:10.3389/fpsyg.2017.01173
   PubMed Web of Science ®Google Scholar
• Ramos, J., Lopes, R. J., & Araújo, D. (2018). What’s next in complex networks? capturing the concept of attacking play in invasive team sports. Sports Medicine, 48(1), 17–28.
   PubMed Web of Science ®Google Scholar
• Robinson, G., & O’Donoghue, P. (2007). A weighted kappa statistic for reliability testing in performance analysis of sport. International Journal of Performance Analysis in Sport, 7(1), 12–19.
   Google Scholar
• Salaj, S., & Marckovic, G. (2011). Specificity of jumping, sprinting, and quick change of direction motor abilities. Journal of Strength Conditioning and Research, 25(5), 1249–1255.
   PubMed Web of Science ®Google Scholar
• Sarmento, H., Clemente, F. M., Araújo, D., Davids, K., McRobert, A., & Figueiredo, A. (2018). What performance analysts need to know about research trends in association football (2012–2016): A systematic review. Sports Medicine, 48(4), 799–836.
   PubMed Web of Science ®Google Scholar
• Torreño, N., Munguía-Izquierdo, D., Coutts, A., Sáez de Villareal, E., Asian-Clemente, J., & Suarez-Arrones, L. (2016). Relationship between external and internal loads of professional soccer players during full matches in official games using global positioning systems and heart-rate technology. International Journal of Sports Physiology and Performance, 11(7), 940–946.
   PubMed Web of Science ®Google Scholar