Examination of Markov-chain approximation in football games based on time evolution of ball-passing networks

Autor:	Ken Yamamoto, Takuma Narizuka
Rok vydání:	2018
Předmět:	Theoretical computer science Markov chain Computer science 0103 physical sciences Time evolution Football Ball (mathematics) 010306 general physics 01 natural sciences 010305 fluids & plasmas
Zdroj:	Physical Review E. 98
ISSN:	2470-0053 2470-0045
Popis:	This paper considers a simplified model of football in which passes are made according to a Markov chain. The authors focus on the time evolution of the ball-passing network. The theoretical formula for the number of different passes based on the Markov chain is derived, and its results are compared with real ball-passing data. The authors conclude that the Markov chain is a fairly good approximation even during the game.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::962fd69e88e03d8a20b142c2b555a849 https://doi.org/10.1103/physreve.98.052314 Zobrazit plný text záznamu