Neologisms are epidemic: Modeling the life cycle of neologisms in China 2008-2016

This paper adopts models from epidemiology to account for the development and decline of neologisms based on internet usage. The research design focuses on the issue of whether a host-driven epidemic model is well-suited to explain human behavior regarding neologisms. We extracted the search frequen...

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Bibliographic Details
Published in:PloS one 2021-02, Vol.16 (2), p.e0245984-e0245984
Main Authors: Jiang, Menghan, Shen, Xiang Ying, Ahrens, Kathleen, Huang, Chu-Ren
Format: Article
Language:English
Subjects:
Biology and Life Sciences
Computer and Information Sciences
History
Mathematical models
Medicine and Health Sciences
Social Sciences
Words, New
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Summary:This paper adopts models from epidemiology to account for the development and decline of neologisms based on internet usage. The research design focuses on the issue of whether a host-driven epidemic model is well-suited to explain human behavior regarding neologisms. We extracted the search frequency data from Google Trends that covers the ninety most influential Chinese neologisms from 2008-2016 and found that the majority of them possess a similar rapidly rising-decaying pattern. The epidemic model is utilized to fit the evolution of these internet-based neologisms. The epidemic model not only has good fitting performance to model the pattern of rapid growth, but also is able to predict the peak point in the neologism's life cycle. This result underlines the role of human agents in the life cycle of neologisms and supports the macro-theory that the evolution of human languages mirrors the biological evolution of human beings.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0245984