Araştırma Makalesi

Network dynamics-based tactic of combat for Taekwondo to identify keys patterns

Cilt: 7 Sayı: 2 15 Haziran 2021
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Network dynamics-based tactic of combat for Taekwondo to identify keys patterns

Öz

Aim: Our method of network dynamics-based stratification of combat integrates alterations at multiple levels and is independent of category and athlete type. Specifically, different fighters are described by differentially wired networks with distinct network topology resulting from their tactical action

Methods: Network dynamics of the tactical actions are analyzed by considering its attractor landscape, which consists of trajectories from all possible initial network states of the beginning combat to its attractor states and proves different situations where one or multiple tactics are inhibited. We focus on the set of attractor states that different tactics eventually reach, which correspond to specific steady states of inevitable tactics 

Results: The main objective was to measure the attractors for the network by using dynamic systems and show two principal attractors meaning dodge and direct attack are the most important techniques. 

Conclusion: Our results not only enable stratification of tactic combat into distinct response groups but also reveal the most important tactic for the network.

Anahtar Kelimeler

Destekleyen Kurum

University of Guanajuato

Proje Numarası

DAIP/2019-25023

Kaynakça

  1. Altarriba-Bartes, A., Drobnic, F., Til, L., Malliaropoulos, N., Montoro, J. B., & Irurtia, A. (2014). Epidemiology of injuries in elite taekwondo athletes: two Olympic periods cross-sectional retrospective study. BMJ open, 4(2), e004605. DOI: 10.1136/bmjopen-2013-004605
  2. Barnett, T., and Pollard, G. H. (2011). Revising new Australian rules football scoring systems. J. Quant. Anal. Sports 7, 23–29
  3. Beatriz Luna, Edgardo Ugalde (2008), Dominant vertices in regulatory networks dynamics, Physica D: Nonlinear Phenomena, 237,2685-2695, DOI; 10.1016/j.physd.2008.04.007.
  4. Benítez, M., Espinosa-Soto, C., Padilla-Longoria, P. et al. Las subredes no lineales interconectadas subyacen a la formación de patrones celulares robustos en la epidermis de Arabidopsis : un modelo espacial dinámico. BMC Syst Biol 2, 98 (2008). DOI: 10.1186/1752-0509-2-98
  5. Bolotin, A., & Bakayev, V. (2018). Pedagogical practice for development of coordination potential of MMA fighters and estimation of its efficiency. Journal of Human Sport and Exercise, 13(1), 72-88. oi:https://doi.org/10.14198/jhse.2018.131.08
  6. Castellano, J., Hernández-Mendo, A., Morales-Sánchez, V., and Anguera, M. T. (2007). Optimising a probabilistic model of the development of play in soccer. Qual. Quant. 41, 93–104. doi: 10.1007/s11135-005-3148-0
  7. Casolino, E., Lupo, C., Cortis, C., Chiodo, S., Minganti, C., Capranica, L., et al. (2012). Technical and tactical analysis of youth taekwondo performance. J. Strength Cond. Res. 26, 1489–1495. doi: 10.1519/JSC.0b013e318231a66d
  8. Espinosa Soto, C., Martin, O.C. and Wagner, A. (2011), Phenotypic robustness can increase phenotypic variability after non genetic perturbations in gene regulatory circuits. Journal of Evolutionary Biology, 24: 1284-1297. DOI:10.1111/j.1420-9101.2011.02261.x

Ayrıntılar

Birincil Dil

İngilizce

Konular

Spor Hekimliği

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Haziran 2021

Gönderilme Tarihi

8 Mart 2021

Kabul Tarihi

7 Haziran 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 7 Sayı: 2

Kaynak Göster

APA
Ramírez, D., & Córdova, T. (2021). Network dynamics-based tactic of combat for Taekwondo to identify keys patterns. International Journal of Sport Exercise and Training Sciences - IJSETS, 7(2), 51-59. https://izlik.org/JA64YJ89ZT
AMA
1.Ramírez D, Córdova T. Network dynamics-based tactic of combat for Taekwondo to identify keys patterns. Uls Spor, Egz & Ant Bil Derg. 2021;7(2):51-59. https://izlik.org/JA64YJ89ZT
Chicago
Ramírez, David, ve Teodoro Córdova. 2021. “Network dynamics-based tactic of combat for Taekwondo to identify keys patterns”. International Journal of Sport Exercise and Training Sciences - IJSETS 7 (2): 51-59. https://izlik.org/JA64YJ89ZT.
EndNote
Ramírez D, Córdova T (01 Haziran 2021) Network dynamics-based tactic of combat for Taekwondo to identify keys patterns. International Journal of Sport Exercise and Training Sciences - IJSETS 7 2 51–59.
IEEE
[1]D. Ramírez ve T. Córdova, “Network dynamics-based tactic of combat for Taekwondo to identify keys patterns”, Uls Spor, Egz & Ant Bil Derg, c. 7, sy 2, ss. 51–59, Haz. 2021, [çevrimiçi]. Erişim adresi: https://izlik.org/JA64YJ89ZT
ISNAD
Ramírez, David - Córdova, Teodoro. “Network dynamics-based tactic of combat for Taekwondo to identify keys patterns”. International Journal of Sport Exercise and Training Sciences - IJSETS 7/2 (01 Haziran 2021): 51-59. https://izlik.org/JA64YJ89ZT.
JAMA
1.Ramírez D, Córdova T. Network dynamics-based tactic of combat for Taekwondo to identify keys patterns. Uls Spor, Egz & Ant Bil Derg. 2021;7:51–59.
MLA
Ramírez, David, ve Teodoro Córdova. “Network dynamics-based tactic of combat for Taekwondo to identify keys patterns”. International Journal of Sport Exercise and Training Sciences - IJSETS, c. 7, sy 2, Haziran 2021, ss. 51-59, https://izlik.org/JA64YJ89ZT.
Vancouver
1.David Ramírez, Teodoro Córdova. Network dynamics-based tactic of combat for Taekwondo to identify keys patterns. Uls Spor, Egz & Ant Bil Derg [Internet]. 01 Haziran 2021;7(2):51-9. Erişim adresi: https://izlik.org/JA64YJ89ZT