Open AccessTeam cooperation research based on complex network method
Author(s) -
Junxiao Wang,
Li Fan,
Zhaoyang Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1592/1/012065
Subject(s) - computer science , counterattack , set (abstract data type) , analytic hierarchy process , field (mathematics) , perspective (graphical) , football , teamwork , football team , research object , operations research , artificial intelligence , engineering , mathematics , management , political science , pure mathematics , law , programming language , regional science , geography , economics
Football is one of the sports that can reflect the importance of teamwork. The passing on the football field can be regarded as a closely connected network. This paper takes Everton as the research object, and a passing network is set up with players as nodes. Based on the method of complex network, this paper summarizes the tactical style of the team from the perspective of the whole season. At the same time, this paper selects two representative games and analyzes them dynamically according to minutes, and finds out the problem that the team does not implement the passing tactics in place. In addition, this paper constructs node performance evaluation indicator system, from three aspects of attack, transmission and defense, using AHP to determine the weight, in order to evaluate player’s personal ability. According to the network model and performance evaluation system, we give some suggestions from the formation, tactics and players. The 4-2-3-1 formation get the highest evaluation. The tactics of passing and defending counterattack should be designed. In addition, the Everton is necessary to introduce some midfields and left defenders.