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 language | English |
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Pages (from-to) | 84-91 |
Number of pages | 8 |
Journal | Physica A: Statistical Mechanics and its Applications |
Volume | 412 |
DOIs | |
Publication status | Published - 2014 Oct 15 |
Keywords
- Chinese character
- Complex network
- Directed analyses
- Fitness model
- Japanese language
ASJC Scopus subject areas
- Statistics and Probability
- Condensed Matter Physics