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Achieving Efficient Team Cooperation Based on the Passing Social Network Model

Published: 22 November 2021 Publication History
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References

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Gu Shan, Wang Xiaofang, Liu Jianghong, et. Gephi-based visual analysis of the football match pass relationship network [C]. Chinese Academy of Sports Sciences. Abstracts of the 11th National Sports Science Conference. Chinese Sports Science Society: Chinese Sports Science Society, pp. 2907-2908, 2019.
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Wang Baoqing, Li Mengyuan, Liao Bin, et. Research on CBA pass data network graph based on GraphX. Chinese Academy of Sports Sciences. Abstracts compilation of the 11th National Sports Science Conference: Chinese Sports Science Society, pp. 2987-2988, 2019.
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Cao Xuewei, Li Xiaotian, Fu Yingyao, et. Research on the influence of home and away matches of Chinese Super League on team sports performance based on complex network method. Sports Research, Vol.40, No.4, pp. 22 -28, 2019.
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Cao Weihua. Analysis of transmission and control characteristics of Spanish Tiki-Taka tactics based on social network analysis. Journal of Chengdu Sport University, Vol. 45, No.4, PP. 65-72, 2019.
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Liao Bin, Zhang Tao, Guo Binglei,et. Quantitative Research on Pass Quality Based on GraphX Pass Network. Computer Science, Vol.44, No.12, pp.175- 182+201, 2017.
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Li Bo, Wang Lei. The feasibility analysis of the social network analysis method to study the pass performance of football matches. Journal of Beijing Sport University, Vol.40, No.08, PP. 112-119, 2017.
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Zhang Tao, Yu Jiong, Liao Bin, et. GraphX-based pass network construction and analysis. Computer Research and Development, Vol. 53, No.12, pp. 2729-2752, 2016.
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Liao Benxian, Yang Yimin, Zhang Xuexue,et. Application of Adaptive Genetic Algorithm and RBF Network in Passing. Computer Simulation, Vol. 27, No.9, pp.169-172, 2010.

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ICISCAE 2021: 2021 4th International Conference on Information Systems and Computer Aided Education
September 2021
2972 pages
ISBN:9781450390255
DOI:10.1145/3482632
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Published: 22 November 2021

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