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Modeling Social Network Topologies in Elementary Schools
Complex networks are used to describe interactions in many real world systems, including economic, biological and social systems. An analysis was done of inter-student friendship, enmity and kinship relationships at three elementary schools by building social networks of these relationships and stud...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567059/ https://www.ncbi.nlm.nih.gov/pubmed/23408976 http://dx.doi.org/10.1371/journal.pone.0055371 |
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author | Huerta-Quintanilla, Rodrigo Canto-Lugo, Efrain Viga-de Alva, Dolores |
author_facet | Huerta-Quintanilla, Rodrigo Canto-Lugo, Efrain Viga-de Alva, Dolores |
author_sort | Huerta-Quintanilla, Rodrigo |
collection | PubMed |
description | Complex networks are used to describe interactions in many real world systems, including economic, biological and social systems. An analysis was done of inter-student friendship, enmity and kinship relationships at three elementary schools by building social networks of these relationships and studying their properties. Friendship network measurements were similar between schools and produced a Poisson topology with a high clustering index. Enmity network measurements were also similar between schools and produced a power law topology. Spatial confinement and the sense of belonging to a social group played vital roles in shaping these networks. Two models were developed which generate complex friendship and enmity networks that reproduce the properties observed at the three studied elementary schools. |
format | Online Article Text |
id | pubmed-3567059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35670592013-02-13 Modeling Social Network Topologies in Elementary Schools Huerta-Quintanilla, Rodrigo Canto-Lugo, Efrain Viga-de Alva, Dolores PLoS One Research Article Complex networks are used to describe interactions in many real world systems, including economic, biological and social systems. An analysis was done of inter-student friendship, enmity and kinship relationships at three elementary schools by building social networks of these relationships and studying their properties. Friendship network measurements were similar between schools and produced a Poisson topology with a high clustering index. Enmity network measurements were also similar between schools and produced a power law topology. Spatial confinement and the sense of belonging to a social group played vital roles in shaping these networks. Two models were developed which generate complex friendship and enmity networks that reproduce the properties observed at the three studied elementary schools. Public Library of Science 2013-02-07 /pmc/articles/PMC3567059/ /pubmed/23408976 http://dx.doi.org/10.1371/journal.pone.0055371 Text en © 2013 Huerta-Quintanilla et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Huerta-Quintanilla, Rodrigo Canto-Lugo, Efrain Viga-de Alva, Dolores Modeling Social Network Topologies in Elementary Schools |
title | Modeling Social Network Topologies in Elementary Schools |
title_full | Modeling Social Network Topologies in Elementary Schools |
title_fullStr | Modeling Social Network Topologies in Elementary Schools |
title_full_unstemmed | Modeling Social Network Topologies in Elementary Schools |
title_short | Modeling Social Network Topologies in Elementary Schools |
title_sort | modeling social network topologies in elementary schools |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567059/ https://www.ncbi.nlm.nih.gov/pubmed/23408976 http://dx.doi.org/10.1371/journal.pone.0055371 |
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