Structure and modeling of the network of two-Chinese-character compound words in the Japanese language

Ken Yamamoto, Yoshihiro Yamazaki

    Research output: Contribution to journalArticle

    5 Citations (Scopus)

    Abstract

    This paper proposes a numerical model of the network of two-Chinese-character compound words (two-character network, for short). In this network, a Chinese character is a node and a two-Chinese-character compound word links two nodes. The basic framework of the model is that an important character gets many edges. As the importance of a character, we use the frequency of each character appearing in publications. The direction of edge is given according to a random number assigned to nodes. The network generated by the model is small-world and scale-free, and reproduces statistical properties in the actual two-character network quantitatively.

    Original languageEnglish
    Pages (from-to)84-91
    Number of pages8
    JournalPhysica A: Statistical Mechanics and its Applications
    Volume412
    DOIs
    Publication statusPublished - 2014 Oct 15

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    Modeling
    random numbers
    Vertex of a graph
    Language
    Character
    Small World
    Random number
    Statistical property
    Model

    Keywords

    • Chinese character
    • Complex network
    • Directed analyses
    • Fitness model
    • Japanese language

    ASJC Scopus subject areas

    • Condensed Matter Physics
    • Statistics and Probability

    Cite this

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    abstract = "This paper proposes a numerical model of the network of two-Chinese-character compound words (two-character network, for short). In this network, a Chinese character is a node and a two-Chinese-character compound word links two nodes. The basic framework of the model is that an important character gets many edges. As the importance of a character, we use the frequency of each character appearing in publications. The direction of edge is given according to a random number assigned to nodes. The network generated by the model is small-world and scale-free, and reproduces statistical properties in the actual two-character network quantitatively.",
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    N2 - This paper proposes a numerical model of the network of two-Chinese-character compound words (two-character network, for short). In this network, a Chinese character is a node and a two-Chinese-character compound word links two nodes. The basic framework of the model is that an important character gets many edges. As the importance of a character, we use the frequency of each character appearing in publications. The direction of edge is given according to a random number assigned to nodes. The network generated by the model is small-world and scale-free, and reproduces statistical properties in the actual two-character network quantitatively.

    AB - This paper proposes a numerical model of the network of two-Chinese-character compound words (two-character network, for short). In this network, a Chinese character is a node and a two-Chinese-character compound word links two nodes. The basic framework of the model is that an important character gets many edges. As the importance of a character, we use the frequency of each character appearing in publications. The direction of edge is given according to a random number assigned to nodes. The network generated by the model is small-world and scale-free, and reproduces statistical properties in the actual two-character network quantitatively.

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