Small-world Structure in Children’s Featured Semantic Networks

Background: Knowing the development pattern of children’s language is applicable in developmental psychology. Network models of language are helpful for the identification of these patterns. Objectives: We examined the small-world properties of featured semantic networks of developing children. M...

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Autores principales:	Somayeh Sadat Hashemikamangar, Shahriar Gharibzadeh, Fatemeh Bakouie
Formato:	article
Lenguaje:	EN
Publicado:	Guilan University of Medical Sciences 2021
Materias:	semantics child development language acquisition Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/45784a141c504755b653ada16d2fa793
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id	oai:doaj.org-article:45784a141c504755b653ada16d2fa793
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spelling	oai:doaj.org-article:45784a141c504755b653ada16d2fa7932021-11-23T12:22:13ZSmall-world Structure in Children’s Featured Semantic Networks10.32598/CJNS.7.27.12423-4818https://doaj.org/article/45784a141c504755b653ada16d2fa7932021-10-01T00:00:00Zhttps://cjns.gums.ac.ir/article-1-464-en.htmlhttps://doaj.org/toc/2423-4818Background: Knowing the development pattern of children’s language is applicable in developmental psychology. Network models of language are helpful for the identification of these patterns. Objectives: We examined the small-world properties of featured semantic networks of developing children. Materials & Methods: In this longitudinal study, the featured semantic networks of children aged 18-30 months were obtained using R software version 3.5.2 and the igraph software package. The data of 2000 English (British)-speaking children, half boy and half girls, were gathered from existing databases of MCDI (between 2000 and 2007) and McRae feature norms. The growth pattern of these networks was illustrated by graph measures. Comparing these measures with those of the reference random networks, the small-world structure can be examined. Results: To have a comparison between path length and clustering coefficient of featured semantic networks with those of random networks, we computed the Q quotient. The results showed that the values of the Q quotient at 18, 22, 26, and 30 months of age were all more than 1, which confirms the small-world characteristic of the networks. Conclusion: Featured semantic networks of children exhibited a small-world structure, in which there was a local structure in the form of clusters of words. For global access, some words act as bridges connecting semantically distant clusters. These networks possess small-world property from the early months of age. The small-world structure cannot be seen in the less dense networks built with a higher cut-off threshold.Somayeh Sadat HashemikamangarShahriar GharibzadehFatemeh BakouieGuilan University of Medical Sciencesarticlesemanticschild developmentlanguage acquisitionNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENCaspian Journal of Neurological Sciences, Vol 7, Iss 4, Pp 185-192 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	semantics child development language acquisition Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
spellingShingle	semantics child development language acquisition Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Somayeh Sadat Hashemikamangar Shahriar Gharibzadeh Fatemeh Bakouie Small-world Structure in Children’s Featured Semantic Networks
description	Background: Knowing the development pattern of children’s language is applicable in developmental psychology. Network models of language are helpful for the identification of these patterns. Objectives: We examined the small-world properties of featured semantic networks of developing children. Materials & Methods: In this longitudinal study, the featured semantic networks of children aged 18-30 months were obtained using R software version 3.5.2 and the igraph software package. The data of 2000 English (British)-speaking children, half boy and half girls, were gathered from existing databases of MCDI (between 2000 and 2007) and McRae feature norms. The growth pattern of these networks was illustrated by graph measures. Comparing these measures with those of the reference random networks, the small-world structure can be examined. Results: To have a comparison between path length and clustering coefficient of featured semantic networks with those of random networks, we computed the Q quotient. The results showed that the values of the Q quotient at 18, 22, 26, and 30 months of age were all more than 1, which confirms the small-world characteristic of the networks. Conclusion: Featured semantic networks of children exhibited a small-world structure, in which there was a local structure in the form of clusters of words. For global access, some words act as bridges connecting semantically distant clusters. These networks possess small-world property from the early months of age. The small-world structure cannot be seen in the less dense networks built with a higher cut-off threshold.
format	article
author	Somayeh Sadat Hashemikamangar Shahriar Gharibzadeh Fatemeh Bakouie
author_facet	Somayeh Sadat Hashemikamangar Shahriar Gharibzadeh Fatemeh Bakouie
author_sort	Somayeh Sadat Hashemikamangar
title	Small-world Structure in Children’s Featured Semantic Networks
title_short	Small-world Structure in Children’s Featured Semantic Networks
title_full	Small-world Structure in Children’s Featured Semantic Networks
title_fullStr	Small-world Structure in Children’s Featured Semantic Networks
title_full_unstemmed	Small-world Structure in Children’s Featured Semantic Networks
title_sort	small-world structure in children’s featured semantic networks
publisher	Guilan University of Medical Sciences
publishDate	2021
url	https://doaj.org/article/45784a141c504755b653ada16d2fa793
work_keys_str_mv	AT somayehsadathashemikamangar smallworldstructureinchildrensfeaturedsemanticnetworks AT shahriargharibzadeh smallworldstructureinchildrensfeaturedsemanticnetworks AT fatemehbakouie smallworldstructureinchildrensfeaturedsemanticnetworks
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Small-world Structure in Children’s Featured Semantic Networks

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