Sub-exponential Growth Dynamics in Complex Systems: A Piecewise Power-Law Model for the Diffusion of New Words and Names

Researchers have developed a piecewise power-law model to analyze the diffusion patterns of new words and names in society, revealing widespread sub-exponential growth rather than traditional S-shaped models. This finding is crucial for developers and tech professionals as it offers a more accurate framework for predicting and modeling the spread of information and trends across different languages and cultures.

Read the full article at arXiv cs.CL (NLP)

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