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Layered Social Network Analysis Reveals Complex Relationships in Kindergarteners
The interplay between individuals forms building blocks for social structure. Here, we examine the structure of behavioral interactions among kindergarten classroom with a hierarchy-neutral approach to examine all possible underlying patterns in the formation of layered networks of “reciprocal” inte...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4773607/ https://www.ncbi.nlm.nih.gov/pubmed/26973572 http://dx.doi.org/10.3389/fpsyg.2016.00276 |
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author | Golemiec, Mireille Schneider, Jonathan Boyce, W. Thomas Bush, Nicole R. Adler, Nancy Levine, Joel D. |
author_facet | Golemiec, Mireille Schneider, Jonathan Boyce, W. Thomas Bush, Nicole R. Adler, Nancy Levine, Joel D. |
author_sort | Golemiec, Mireille |
collection | PubMed |
description | The interplay between individuals forms building blocks for social structure. Here, we examine the structure of behavioral interactions among kindergarten classroom with a hierarchy-neutral approach to examine all possible underlying patterns in the formation of layered networks of “reciprocal” interactions. To understand how these layers are coordinated, we used a layered motif approach. Our dual layered motif analysis can therefore be thought of as the dynamics of smaller groups that tile to create the group structure, or alternatively they provide information on what the average child would do in a given local social environment. When we examine the regulated motifs in layered networks, we find that transitivity is at least partially involved in the formation of these layered network structures. We also found complex combinations of the expected reciprocal interactions. The mechanisms used to understand social networks of kindergarten children here are also applicable on a more general scale to any group of individuals where interactions and identities can be readily observed and scored. |
format | Online Article Text |
id | pubmed-4773607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47736072016-03-11 Layered Social Network Analysis Reveals Complex Relationships in Kindergarteners Golemiec, Mireille Schneider, Jonathan Boyce, W. Thomas Bush, Nicole R. Adler, Nancy Levine, Joel D. Front Psychol Psychology The interplay between individuals forms building blocks for social structure. Here, we examine the structure of behavioral interactions among kindergarten classroom with a hierarchy-neutral approach to examine all possible underlying patterns in the formation of layered networks of “reciprocal” interactions. To understand how these layers are coordinated, we used a layered motif approach. Our dual layered motif analysis can therefore be thought of as the dynamics of smaller groups that tile to create the group structure, or alternatively they provide information on what the average child would do in a given local social environment. When we examine the regulated motifs in layered networks, we find that transitivity is at least partially involved in the formation of these layered network structures. We also found complex combinations of the expected reciprocal interactions. The mechanisms used to understand social networks of kindergarten children here are also applicable on a more general scale to any group of individuals where interactions and identities can be readily observed and scored. Frontiers Media S.A. 2016-03-02 /pmc/articles/PMC4773607/ /pubmed/26973572 http://dx.doi.org/10.3389/fpsyg.2016.00276 Text en Copyright © 2016 Golemiec, Schneider, Boyce, Bush, Adler and Levine. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Golemiec, Mireille Schneider, Jonathan Boyce, W. Thomas Bush, Nicole R. Adler, Nancy Levine, Joel D. Layered Social Network Analysis Reveals Complex Relationships in Kindergarteners |
title | Layered Social Network Analysis Reveals Complex Relationships in Kindergarteners |
title_full | Layered Social Network Analysis Reveals Complex Relationships in Kindergarteners |
title_fullStr | Layered Social Network Analysis Reveals Complex Relationships in Kindergarteners |
title_full_unstemmed | Layered Social Network Analysis Reveals Complex Relationships in Kindergarteners |
title_short | Layered Social Network Analysis Reveals Complex Relationships in Kindergarteners |
title_sort | layered social network analysis reveals complex relationships in kindergarteners |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4773607/ https://www.ncbi.nlm.nih.gov/pubmed/26973572 http://dx.doi.org/10.3389/fpsyg.2016.00276 |
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