TY - JOUR
T1 - Beyond Dyads and Triads
T2 - A Comparison of Tetrads in Twenty Social Networks
AU - McMillan, Cassie
AU - Felmlee, Diane
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Research reported in this manuscript was supported by the Penn State Population Research Institute of the National Institutes of Health under award number 2P2CHD041025. This work was also supported by Pennsylvania State University and the National Science Foundation under IGERT award number DGE-1144860, Big Data Social Science. This research was sponsored in part by the U.S. Army Research Laboratory and the U.K. Ministry of Defense under agreement number W911NF-16-3-0001. This project also uses data from Add Health, a program project designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris and funded by grant P01HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 17 other agencies. No direct support was received from grant P01HD31921 for this analysis.
Funding Information:
We are grateful for suggestions and comments from David R. Hunter on earlier versions of this work. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Research reported in this manuscript was supported by the Penn State Population Research Institute of the National Institutes of Health under award number 2P2CHD041025. This work was also supported by Pennsylvania State University and the National Science Foundation under IGERT award number DGE-1144860, Big Data Social Science. This research was sponsored in part by the U.S. Army Research Laboratory and the U.K. Ministry of Defense under agreement number W911NF-16-3-0001. This project also uses data from Add Health, a program project designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris and funded by grant P01HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 17 other agencies. No direct support was received from grant P01HD31921 for this analysis.
Publisher Copyright:
© American Sociological Association 2020.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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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U2 - 10.1177/0190272520944151
DO - 10.1177/0190272520944151
M3 - Article
AN - SCOPUS:85093968416
SN - 0190-2725
VL - 83
SP - 383
EP - 404
JO - Sociometry
JF - Sociometry
IS - 4
ER -