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Multilevel modeling analysis of dyadic network data with an application to Ye'kwana food sharing

Bibliographic Data

ID8314939
AuthorsJeremy Koster (0000-0002-7291-6478, Department of Anthropology University of Cincinnati Cincinnati, OH 45221 United States, corresponding author), Glenn Leckie (0000-0003-1486-745X, University of Bristol), George Leckie (Centre for Multilevel Modelling, Graduate School of Education University of Bristol 2 Priory Road Bristol BS8 1TX United Kingdom), Andrew Miller (0000-0003-3044-3358, Department of Anthropology University of Cincinnati Cincinnati, OH 45221 United States), R Hames (0000-0002-6931-3342, University of Nebraska–Lincoln)
Year2015
Volume157
Issue3
Pages507-512
Publication date2015-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Physical Anthropology (JOURNAL)
Journal identifiersISSN: 0002-9483 • E-ISSN: 1096-8644
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajpa.22721
PMID25773376
OpenAlexW1947535323
LanguageEN
Citations received6
References cited40

Behavioral ecologists have recently begun using multilevel modeling for the analysis of social behavior. We present a multilevel modeling formulation of the Social Relations Model that is well suited for the analysis of dyadic network data. This model, which we adapt for count data and small datasets, can be fitted using standard multilevel modeling software packages. We illustrate this model with an analysis of meal sharing among Ye'kwana horticulturalists in Venezuela. In this setting, meal sharing among households is predicted by an association index, which reflects the amount of time that members of the households are interacting. This result replicates recent findings that interhousehold food sharing is especially prevalent among households that interact and cooperate in multiple ways. We discuss opportunities for human behavioral ecologists to expand their focus to the multiple currencies and cooperative behaviors that characterize interpersonal relationships in preindustrial societies. We discuss possible extensions to this statistical modeling approach and applications to research by human behavioral ecologists and primatologists. Am J Phys Anthropol 157:507–512, 2015. © 2015 Wiley Periodicals, Inc

Data science · Econometrics · Focus (optics) · Interpersonal communication · Machine learning · Multilevel model · Social media · Social network analysis · World Wide Web · Agricultural Innovations and Practices · Computer Science · Mathematics · Organic Food and Agriculture · Primate Behavior and Ecology · Psychology · Social Psychology

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Unique citing works6
Citations per year0,75
Citation span2018 - 2021 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 6

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