» Articles » PMID: 21589924

Small Worlds and Semantic Network Growth in Typical and Late Talkers

Overview
Journal PLoS One
Date 2011 May 19
PMID 21589924
Citations 78
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Drivers of Lexical Processing and Implications for Early Learning.

Borovsky A Annu Rev Dev Psychol. 2024; 4(1):21-40.

PMID: 38846449 PMC: 11156262. DOI: 10.1146/annurev-devpsych-120920-042902.


Verb vocabularies are shaped by complex meanings from the onset of development.

Kueser J, Borovsky A Cogsci. 2024; 45:130-138.

PMID: 38826494 PMC: 11142620.


Becoming word meaning experts: Infants' processing of familiar words in the context of typical and atypical exemplars.

Weaver H, Zettersten M, Saffran J Child Dev. 2024; 95(5):e352-e372.

PMID: 38822689 PMC: 11576247. DOI: 10.1111/cdev.14120.


Language-like efficiency and structure in house finch song.

Youngblood M Proc Biol Sci. 2024; 291(2020):20240250.

PMID: 38565151 PMC: 10987240. DOI: 10.1098/rspb.2024.0250.


Using network science to examine audio-visual speech perception with a multi-layer graph.

Vitevitch M, Lachs L PLoS One. 2024; 19(3):e0300926.

PMID: 38551907 PMC: 10980250. DOI: 10.1371/journal.pone.0300926.


References
1.
Ferrer I Cancho R, Sole R . The small world of human language. Proc Biol Sci. 2001; 268(1482):2261-5. PMC: 1088874. DOI: 10.1098/rspb.2001.1800. View

2.
Hills T, Maouene M, Maouene J, Sheya A, Smith L . Categorical structure among shared features in networks of early-learned nouns. Cognition. 2009; 112(3):381-96. PMC: 2734996. DOI: 10.1016/j.cognition.2009.06.002. View

3.
Zubrick S, Taylor C, Rice M, Slegers D . Late language emergence at 24 months: an epidemiological study of prevalence, predictors, and covariates. J Speech Lang Hear Res. 2007; 50(6):1562-92. PMC: 3521638. DOI: 10.1044/1092-4388(2007/106). View

4.
Hills T, Maouene M, Maouene J, Sheya A, Smith L . Longitudinal analysis of early semantic networks: preferential attachment or preferential acquisition?. Psychol Sci. 2009; 20(6):729-39. PMC: 4216730. DOI: 10.1111/j.1467-9280.2009.02365.x. View

5.
Newman M . Clustering and preferential attachment in growing networks. Phys Rev E Stat Nonlin Soft Matter Phys. 2001; 64(2 Pt 2):025102. DOI: 10.1103/PhysRevE.64.025102. View