Statistical properties of position-dependent ball-passing networks in football games

Takuma Narizuka; Ken Yamamoto; Yoshihiro Yamazaki

doi:10.1016/j.physa.2014.06.037

Statistical properties of position-dependent ball-passing networks in football games

Takuma Narizuka^*, Ken Yamamoto, Yoshihiro Yamazaki

^*Corresponding author for this work

School of Advanced Science and Engineering

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

Abstract

Statistical properties of position-dependent ball-passing networks in real football games are examined. We find that the networks have the small-world property, and their degree distributions are fitted well by a truncated gamma distribution function. In order to reproduce these properties of networks, a model based on a Markov chain is proposed.

Original language	English
Pages (from-to)	157-168
Number of pages	12
Journal	Physica A: Statistical Mechanics and its Applications
Volume	412
DOIs	https://doi.org/10.1016/j.physa.2014.06.037
Publication status	Published - 2014 Oct 15

Keywords

Complex networks
Degree distribution
Football
Markov chain
Truncated gamma distribution

ASJC Scopus subject areas

Statistics and Probability
Condensed Matter Physics

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10.1016/j.physa.2014.06.037

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title = "Statistical properties of position-dependent ball-passing networks in football games",

abstract = "Statistical properties of position-dependent ball-passing networks in real football games are examined. We find that the networks have the small-world property, and their degree distributions are fitted well by a truncated gamma distribution function. In order to reproduce these properties of networks, a model based on a Markov chain is proposed.",

keywords = "Complex networks, Degree distribution, Football, Markov chain, Truncated gamma distribution",

author = "Takuma Narizuka and Ken Yamamoto and Yoshihiro Yamazaki",

note = "Funding Information: The present work was supported through the Takuetsu Program, by the Ministry of Education, Culture, Sports, Science and Technology .",

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AU - Narizuka, Takuma

AU - Yamamoto, Ken

AU - Yamazaki, Yoshihiro

N1 - Funding Information: The present work was supported through the Takuetsu Program, by the Ministry of Education, Culture, Sports, Science and Technology .

PY - 2014/10/15

Y1 - 2014/10/15

N2 - Statistical properties of position-dependent ball-passing networks in real football games are examined. We find that the networks have the small-world property, and their degree distributions are fitted well by a truncated gamma distribution function. In order to reproduce these properties of networks, a model based on a Markov chain is proposed.

AB - Statistical properties of position-dependent ball-passing networks in real football games are examined. We find that the networks have the small-world property, and their degree distributions are fitted well by a truncated gamma distribution function. In order to reproduce these properties of networks, a model based on a Markov chain is proposed.

KW - Complex networks

KW - Degree distribution

KW - Football

KW - Markov chain

KW - Truncated gamma distribution

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ER -

Statistical properties of position-dependent ball-passing networks in football games

Abstract

Keywords

ASJC Scopus subject areas

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