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Beyond Dyads and Triads: A Comparison of Tetrads in Twenty Social Networks

Social psychologists focus on the microlevel features that define interaction, often attending to dyads and triads. We argue that there also is utility in studying how configurations of four actors, or tetrads, pattern our social world. The current project considers the prevalence of directed tetrad...

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Detalles Bibliográficos
Autores principales: McMillan, Cassie, Felmlee, Diane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988288/
https://www.ncbi.nlm.nih.gov/pubmed/35400774
http://dx.doi.org/10.1177/0190272520944151
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author McMillan, Cassie
Felmlee, Diane
author_facet McMillan, Cassie
Felmlee, Diane
author_sort McMillan, Cassie
collection PubMed
description Social psychologists focus on the microlevel features that define interaction, often attending to dyads and triads. We argue that there also is utility in studying how configurations of four actors, or tetrads, pattern our social world. The current project considers the prevalence of directed tetrads across twenty social networks representing five relationship types (friendship, legislative co-sponsorship, Twitter, advice seeking, and email). By comparing these observed networks to randomly generated conditional networks, we identify tetrads that occur more frequently than expected, or network motifs. In all twenty networks, we find evidence for six tetrad motifs that collectively highlight tendencies toward hierarchy, clustering, and bridging in social interaction. Variations across network genres also emerge, suggesting that unique tetrad structural signatures could define different types of interaction.
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spelling pubmed-89882882022-04-08 Beyond Dyads and Triads: A Comparison of Tetrads in Twenty Social Networks McMillan, Cassie Felmlee, Diane Soc Psychol Q Articles Social psychologists focus on the microlevel features that define interaction, often attending to dyads and triads. We argue that there also is utility in studying how configurations of four actors, or tetrads, pattern our social world. The current project considers the prevalence of directed tetrads across twenty social networks representing five relationship types (friendship, legislative co-sponsorship, Twitter, advice seeking, and email). By comparing these observed networks to randomly generated conditional networks, we identify tetrads that occur more frequently than expected, or network motifs. In all twenty networks, we find evidence for six tetrad motifs that collectively highlight tendencies toward hierarchy, clustering, and bridging in social interaction. Variations across network genres also emerge, suggesting that unique tetrad structural signatures could define different types of interaction. SAGE Publications 2020-10-23 2020-12 /pmc/articles/PMC8988288/ /pubmed/35400774 http://dx.doi.org/10.1177/0190272520944151 Text en © American Sociological Association 2020 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Articles
McMillan, Cassie
Felmlee, Diane
Beyond Dyads and Triads: A Comparison of Tetrads in Twenty Social Networks
title Beyond Dyads and Triads: A Comparison of Tetrads in Twenty Social Networks
title_full Beyond Dyads and Triads: A Comparison of Tetrads in Twenty Social Networks
title_fullStr Beyond Dyads and Triads: A Comparison of Tetrads in Twenty Social Networks
title_full_unstemmed Beyond Dyads and Triads: A Comparison of Tetrads in Twenty Social Networks
title_short Beyond Dyads and Triads: A Comparison of Tetrads in Twenty Social Networks
title_sort beyond dyads and triads: a comparison of tetrads in twenty social networks
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988288/
https://www.ncbi.nlm.nih.gov/pubmed/35400774
http://dx.doi.org/10.1177/0190272520944151
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