@Article{JICS-15-113, author = {Linjie Wu, Yujie Zheng and Yunfei Fan}, title = {A Pattern Recognition and Performance Index Evaluation Model of Football Team based on Principal Component Analysis and PageRank Algorithm}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {15}, number = {2}, pages = {113--123}, abstract = { With the increasing knowledge integration and task complexity, individual ability demands a highly cohesive interdisciplinary team to amplify. To study the elements of successful team cooperation and explore valuable team strategies, this paper present a network pattern recognition model based on PageRank algorithm and principal component analysis method. Further, a team cooperation performance model based on group dynamic theory is built to capture the individual contribution and teamwork characteristic as a supplementary evaluation. By applying the model into football competition, we found our model has 73.68% accuracy, proving its outstanding adaptability. Based on the model, we can get the information of the inner network structure of a team, know the most significant contributors pertinent with team success, and make further justification plans and suggestions to achieve teamwork improvement. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22386.html} }