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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Incorporating Background Checks with Sentiment Analysis to Identify Violence Risky Chinese Microblogs Yun-Fei Jia; Shan Li; Renbiao Wu In: Future Internet ; Volume 11 ; Issue 9 (2019) BASE Show details 2 Are “We” Good? A Longitudinal Study of We-Talk and Stress Coping in Dual-Earner Couples Wei-Fang Lin; Lung Hung Chen; Tsui-Shan Li BASE Show details 3 Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems Shan Li; Ruokuang Lin; Chunhua Bian; Qianli D Y Ma; Plamen Ch Ivanov Abstract: Scaling laws characterize diverse complex systems in a broad range of fields, including physics, biology, finance, and social science. The human language is another example of a complex system of words organization. Studies on written texts have shown that scaling laws characterize the occurrence frequency of words, words rank, and the growth of distinct words with increasing text length. However, these studies have mainly concentrated on the western linguistic systems, and the laws that govern the lexical organization, structure and dynamics of the Chinese language remain not well understood. Here we study a database of Chinese and English language books. We report that three distinct scaling laws characterize words organization in the Chinese language. We find that these scaling laws have different exponents and crossover behaviors compared to English texts, indicating different words organization and dynamics of words in the process of text growth. We propose a stochastic feedback model of words organization and text growth, which successfully accounts for the empirically observed scaling laws with their corresponding scaling exponents and characteristic crossover regimes. Further, by varying key model parameters, we reproduce differences in the organization and scaling laws of words between the Chinese and English language. We also identify functional relationships between model parameters and the empirically observed scaling exponents, thus providing new insights into the words organization and growth dynamics in the Chinese and English language. URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0168971 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0168971&type=printable BASE Hide details

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