ArticlePloS one2018
How does language change as a lexical network? An investigation based on written Chinese word co-occurrence networks.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Identifying the perceived local properties of networks reconstructed from biased random walks.PloS one · 2024Article
- Social changes through the lens of language: A big data study of Chinese modal verbs.PloS one · 2022Article
- Differentiating Interpreting Types: Connecting Complex Networks to Cognitive Complexity.Frontiers in psychology · 2021Article
- Patterns of Adaptation in Child-Directed and Child Speech in the Emergence of Hebrew Verbs.Frontiers in psychology · 2021Article
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Abstract
Language is a complex adaptive system, but how does it change? For investigating this process, four diachronic Chinese word co-occurrence networks have been built based on texts that were written during the last 2,000 years. By comparing the network indicators that are associated with the hierarchical features in language networks, we learn that the hierarchy of Chinese lexical networks has indeed evolved over time at three different levels. The connections of words at the micro level are continually weakening; the number of words in the meso-level communities has increased significantly; and the network is expanding at the macro level. This means that more and more words tend to be connected to medium-central words and form different communities. Meanwhile, fewer high-central words link these communities into a highly efficient small-world network. Understanding this process may be crucial for understanding the increasing structural complexity of the language system.
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