Investigation of the structural features of word co-occurrence networks with increasing numbers of connected words

Kihei Magishi; Tomoko Matsumoto; Yutaka Shimada; Tohru Ikeguchi

doi:10.1587/nolta.13.343

Special Section on Nonlinear Science Workshop on the Journal

Investigation of the structural features of word co-occurrence networks with increasing numbers of connected words

Kihei Magishi, Tomoko Matsumoto, Yutaka Shimada, Tohru Ikeguchi

著者情報

キーワード: language, word co-occurrence network, clustering coefficient, average shortest-path length, case marker, the New Testament of the Christian Bible

ジャーナルフリー

2022 年 13 巻 2 号 p. 343-348

DOI https://doi.org/10.1587/nolta.13.343

詳細

抄録

Word co-occurrence networks (WCNs) are a major tool used to analyze languages quantitatively. In a WCN, the vertices are words (morphemes), and the edges connect n consecutive words in a sentence on the basis of the n-gram. Most studies use WCNs transformed at n=2. In this study, we investigated the changes in the structural features of WCNs when n increases using four types of documents for eight languages. We found that WCNs with n≧ 3 reflect features of the languages that do not appear when n = 2 and that some structural features evaluated by network measures depend on the text data.

責任著者(Corresponding author)

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