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Beyond Dyads and Triads: A Comparison of Tetrads in Twenty Social Networks
Author(s) -
Cassie McMillan,
Diane Felmlee
Publication year - 2020
Publication title -
social psychology quarterly
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.699
H-Index - 85
eISSN - 1939-8999
pISSN - 0190-2725
DOI - 10.1177/0190272520944151
Subject(s) - friendship , bridging (networking) , tetrad , social psychology , social network (sociolinguistics) , psychology , hierarchy , similarity (geometry) , social relation , social network analysis , computer science , social media , political science , mathematics , artificial intelligence , world wide web , computer network , image (mathematics) , law , mathematical physics
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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