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The structure of online social networks modulates the rate of lexical change

机译:在线社交网络的结构调制了词汇变化的速度

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New words are regularly introduced to communities, yet not all of these words persist in a community's lexicon. Among the many factors contributing to lexical change, we focus on the understudied effect of social networks. We conduct a large-scale analysis of over 80k neologisms in 4420 online communities across a decade. Using Poisson regression and survival analysis, our study demonstrates that the community's network structure plays a significant role in lexical change. Apart from overall size, properties including dense connections, the lack of local clusters and more external contacts promote lexical innovation and retention. Unlike offline communities, these topic-based communities do not experience strong lexical levelling despite increased contact but accommodate more niche words. Our work provides support for the so-ciolinguistic hypothesis that lexical change is partially shaped by the structure of the underlying network but also uncovers findings specific to online communities.
机译:经常向社区介绍新的单词,但并非所有这些词都持续在社区的词典中。在有助于词汇变革的许多因素中,我们专注于社会网络的被人的效果。在十年内,我们在4420个在线社区中对超过80K新的人进行了大规模分析。使用泊松回归和生存分析,我们的研究表明,社区的网络结构在词汇变化中发挥着重要作用。除了整体尺寸,属性包括密集的连接,缺乏局部集群和更多的外部联系人促进了词汇创新和保留。与离线社区不同,尽管接触增加,但这些主题的社区不遇到强大的词汇调平,但是适应更多的利基单词。我们的工作为So-Ciol语言假设提供了支持,即词汇变化由底层网络的结构部分塑造,但也发现了特定于在线社区的调查结果。

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