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

Takuma Narizuka, Ken Yamamoto, Yoshihiro Yamazaki

    Research output: Contribution to journalArticle

    12 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 languageEnglish
    Pages (from-to)157-168
    Number of pages12
    JournalPhysica A: Statistical Mechanics and its Applications
    Volume412
    DOIs
    Publication statusPublished - 2014 Oct 15

    Fingerprint

    games
    Statistical property
    balls
    Ball
    Game
    Dependent
    gamma function
    Truncated Distributions
    Gamma function
    Markov chains
    Small World
    Gamma distribution
    Degree Distribution
    Markov chain
    Distribution Function
    distribution functions
    Model-based

    Keywords

    • Complex networks
    • Degree distribution
    • Football
    • Markov chain
    • Truncated gamma distribution

    ASJC Scopus subject areas

    • Condensed Matter Physics
    • Statistics and Probability

    Cite this

    Statistical properties of position-dependent ball-passing networks in football games. / Narizuka, Takuma; Yamamoto, Ken; Yamazaki, Yoshihiro.

    In: Physica A: Statistical Mechanics and its Applications, Vol. 412, 15.10.2014, p. 157-168.

    Research output: Contribution to journalArticle

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