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Small Worlds and Semantic Network Growth in Typical and Late Talkers

机译:典型通话者和后期通话者的小世界和语义网络增长

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摘要

Network analysis has demonstrated that systems ranging from social networks to electric power grids often involve a small world structure-with local clustering but global ac cess. Critically, small world structure has also been shown to characterize adult human semantic networks. Moreover, the connectivity pattern of these mature networks is consistent with lexical growth processes in which children add new words to their vocabulary based on the structure of the language-learning environment. However, thus far, there is no direct evidence that a child's individual semantic network structure is associated with their early language learning. Here we show that, while typically developing children's early networks show small world structure as early as 15 months and with as few as 55 words, children with language delay (late talkers) have this structure to a smaller degree. This implicates a maladaptive bias in word acquisition for late talkers, potentially indicating a preference for “oddball” words. The findings provide the first evidence of a link between small-world connectivity and lexical development in individual children.
机译:网络分析表明,从社交网络到电网的各种系统通常都涉及一个小的世界结构-具有本地集群,但具有全球访问权限。至关重要的是,小世界结构也已显示出表征成人人类语义网络的特征。此外,这些成熟网络的连通性模式与词汇增长过程一致,在该过程中,孩子们根据语言学习环境的结构向词汇表中添加了新单词。但是,到目前为止,尚无直接证据表明儿童的个体语义网络结构与他们的早期语言学习有关。在这里,我们表明,虽然通常发展中的儿童早期网络在15个月之内就显示出很小的世界结构,只有55个单词,但语言延迟的儿童(说话迟到的人)的这种结构程度较小。这意味着后期说话者在单词习得中存在适应不良的偏见,这可能表明他们偏爱“ oddball”单词。这些发现提供了小世界连接性与个别儿童词汇发展之间联系的第一个证据。

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