Uma análise das seleções da Copa do Mundo de Futebol 2018 utilizando uma rede de transferências de jogadores entre países
DOI:
https://doi.org/10.5753/isys.2019.598Keywords:
Redes complexas, Mineração de Dados, FutebolAbstract
O futebol é o esporte mais popular do mundo. O crescimento no número de transações de compra e venda de jogadores, \textit{marketing}, patrocínios, venda de ingressos, contratos de TV, entre outras formas de monetização do futebol faz com que o fluxo de valores seja cada vez maior. Grande parte dos trabalhos relacionados a esse esporte são associados a análises sociológicas. Neste trabalho, é proposto um estudo focado nas transações feitas entre as seleções classificadas para a Copa do Mundo 2018 utilizando técnicas de redes complexas para uma análise da transferência de jogadores entre esses países.
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Referências
Baade, R. A. and Matheson, V. A. (2004). The quest for the cup: Assessing the economic
impact of the world cup. Regional Studies, 38(4):343–354.
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., and Lefebvre, E. (2008). Fast unfolding
of communities in large networks. Journal of Statistical Mechanics: Theory and
Experiment, 2008(10):P10008.
Clauset, A., Newman, M. E. J., and Moore, C. (2004). Finding community structure in
very large networks. Phys. Rev. E, 70:066111.
Deloitte (June 2016). Annual review of football finance.
Felix, L., Barbosa, C., Carvalho, I., Vieira, V., and Xavier, C. (2018a). Uma analise das ´
selec¸oes da copa utilizando uma rede de transfer ˜ encias de jogadores entre pa ˆ ´ıses. In
CSBC 2018 - VII BraSNAM ().
Felix, L., Barbosa, C., Vieira, V., and Xavier, C. (2018b). Analise do impacto das copas do ´
mundo no mercado de transac¸oes de jogadores de futebol e da globalizac¸ ˜ ao do futebol ˜
utilizando tecnicas de redes complexas. In ´ ENIAC 2018 - VII KdMIle ().
Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry,
pages 35–41.
Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social
Networks, page 215.
Frick, B. (2007). The football players’ labor market: Empirical evidence from the major
european leagues. Scottish Journal of Political Economy, 54(3):422–446.
Gonzalez-Badillo, J. J., Pareja-Blanco, F., Rodr ´ ´ıguez-Rosell, D., Abad-Herencia, J. L.,
del Ojo-Lopez, J. J., and S ´ anchez-Medina, L. (2015). Effects of velocity-based resis- ´
tance training on young soccer players of different ages. The Journal of Strength &
Conditioning Research, 29(5):1329–1338.
Iandoli, R. (2018). Quer ficar mais caro? marque gols em uma copa do mundo.
Jarvie, G. (2003). Sport, racism and british society: A sociological study of england’s elite
male afro/caribbean soccer and rugby union players. In Sport, racism and ethnicity,
pages 79–102. Routledge.
Lees, A., Asai, T., Andersen, T. B., Nunome, H., and Sterzing, T. (2010). The biomechanics
of kicking in soccer: A review. Journal of sports sciences, 28(8):805–817.
Liebig, J., Rhein, A. V., Kastner, C., Apel, S., Dorre, J., and Lengauer, C. (2012). Largescale
variability-aware type checking and dataflow analysis.
Magee, J. and Sugden, J. (2002). “the world at their feet” professional football and international
labor migration. Journal of sport and social issues, 26(4):421–437.
Martin, W. (2018). From 950, 000to220 million: The most valuable player for every team
at the 2018 world cup.
Newman, M. E. J. (2006). Finding community structure in networks using the eigenvectors
of matrices. Phys. Rev. E, 74:036104.
Newman, M. E. J. and Girvan, M. (2004). Finding and evaluating community structure in
networks. Phys. Rev. E, 69:026113.
Osgnach, C., Poser, S., Bernardini, R., Rinaldo, R., and Di Prampero, P. E. (2010). Energy
cost and metabolic power in elite soccer: a new match analysis approach. Med Sci
Sports Exerc, 42(1):170–178.
Page, L., Brin, S., Motwani, R., and Winograd, T. (1999). The pagerank citation ranking:
Bringing order to the web. Technical Report 1999-66, Stanford InfoLab. Previous
number = SIDL-WP-1999-0120.
Palacios-Huerta, I. (2004). Structural changes during a century of the world’s most popular
sport. Statistical Methods and Applications, 13(2):241–258.
Redhead, S. (2002). Post-fandom and the millennial blues: The transformation of soccer
culture. Routledge.
Taylor, I. (2014). 0n the sports violence question: soccer hooliganism revisited. Sport,
Culture and Ideology (RLE Sports Studies), page 152.
XF, L., Y-L, L., X-H, L., Q-X, W., and T-X, W. (2016). The anatomy of the global football
player transfer network: Club functionalities versus network properties. PLoS ONE,
11(6).
impact of the world cup. Regional Studies, 38(4):343–354.
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., and Lefebvre, E. (2008). Fast unfolding
of communities in large networks. Journal of Statistical Mechanics: Theory and
Experiment, 2008(10):P10008.
Clauset, A., Newman, M. E. J., and Moore, C. (2004). Finding community structure in
very large networks. Phys. Rev. E, 70:066111.
Deloitte (June 2016). Annual review of football finance.
Felix, L., Barbosa, C., Carvalho, I., Vieira, V., and Xavier, C. (2018a). Uma analise das ´
selec¸oes da copa utilizando uma rede de transfer ˜ encias de jogadores entre pa ˆ ´ıses. In
CSBC 2018 - VII BraSNAM ().
Felix, L., Barbosa, C., Vieira, V., and Xavier, C. (2018b). Analise do impacto das copas do ´
mundo no mercado de transac¸oes de jogadores de futebol e da globalizac¸ ˜ ao do futebol ˜
utilizando tecnicas de redes complexas. In ´ ENIAC 2018 - VII KdMIle ().
Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry,
pages 35–41.
Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social
Networks, page 215.
Frick, B. (2007). The football players’ labor market: Empirical evidence from the major
european leagues. Scottish Journal of Political Economy, 54(3):422–446.
Gonzalez-Badillo, J. J., Pareja-Blanco, F., Rodr ´ ´ıguez-Rosell, D., Abad-Herencia, J. L.,
del Ojo-Lopez, J. J., and S ´ anchez-Medina, L. (2015). Effects of velocity-based resis- ´
tance training on young soccer players of different ages. The Journal of Strength &
Conditioning Research, 29(5):1329–1338.
Iandoli, R. (2018). Quer ficar mais caro? marque gols em uma copa do mundo.
Jarvie, G. (2003). Sport, racism and british society: A sociological study of england’s elite
male afro/caribbean soccer and rugby union players. In Sport, racism and ethnicity,
pages 79–102. Routledge.
Lees, A., Asai, T., Andersen, T. B., Nunome, H., and Sterzing, T. (2010). The biomechanics
of kicking in soccer: A review. Journal of sports sciences, 28(8):805–817.
Liebig, J., Rhein, A. V., Kastner, C., Apel, S., Dorre, J., and Lengauer, C. (2012). Largescale
variability-aware type checking and dataflow analysis.
Magee, J. and Sugden, J. (2002). “the world at their feet” professional football and international
labor migration. Journal of sport and social issues, 26(4):421–437.
Martin, W. (2018). From 950, 000to220 million: The most valuable player for every team
at the 2018 world cup.
Newman, M. E. J. (2006). Finding community structure in networks using the eigenvectors
of matrices. Phys. Rev. E, 74:036104.
Newman, M. E. J. and Girvan, M. (2004). Finding and evaluating community structure in
networks. Phys. Rev. E, 69:026113.
Osgnach, C., Poser, S., Bernardini, R., Rinaldo, R., and Di Prampero, P. E. (2010). Energy
cost and metabolic power in elite soccer: a new match analysis approach. Med Sci
Sports Exerc, 42(1):170–178.
Page, L., Brin, S., Motwani, R., and Winograd, T. (1999). The pagerank citation ranking:
Bringing order to the web. Technical Report 1999-66, Stanford InfoLab. Previous
number = SIDL-WP-1999-0120.
Palacios-Huerta, I. (2004). Structural changes during a century of the world’s most popular
sport. Statistical Methods and Applications, 13(2):241–258.
Redhead, S. (2002). Post-fandom and the millennial blues: The transformation of soccer
culture. Routledge.
Taylor, I. (2014). 0n the sports violence question: soccer hooliganism revisited. Sport,
Culture and Ideology (RLE Sports Studies), page 152.
XF, L., Y-L, L., X-H, L., Q-X, W., and T-X, W. (2016). The anatomy of the global football
player transfer network: Club functionalities versus network properties. PLoS ONE,
11(6).
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Published
2019-09-18
Como Citar
Félix, L. G. da S., Barbosa, C. M., Carvalho, I. A., Vieira, V. da F., & Xavier, C. R. (2019). Uma análise das seleções da Copa do Mundo de Futebol 2018 utilizando uma rede de transferências de jogadores entre países. ISys - Revista Brasileira De Sistemas De Informação, 12(3), 73–93. https://doi.org/10.5753/isys.2019.598
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