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

Jeremy Koster*, George Leckie, Andrew Miller, Raymond Hames

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

9 Citations (Scopus)
296 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)507-512
Number of pages6
JournalAmerican Journal of Physical Anthropology
Volume157
Issue number3
Early online date13 Mar 2015
DOIs
Publication statusPublished - Jul 2015

Bibliographical note

Article first published online: 13 MAR 2015

Keywords

  • association index
  • cooperation
  • food sharing
  • social network analysis
  • social relations model

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