A Pattern Recognition and Performance Index Evaluation Model of Football Team based on Principal Component Analysis and PageRank Algorithm
Year: 2020
Journal of Information and Computing Science, Vol. 15 (2020), Iss. 2 : pp. 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.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22386
Journal of Information and Computing Science, Vol. 15 (2020), Iss. 2 : pp. 113–123
Published online: 2020-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 11