Journal
HUMAN NATURE-AN INTERDISCIPLINARY BIOSOCIAL PERSPECTIVE
Volume 21, Issue 3, Pages 243-268Publisher
SPRINGER
DOI: 10.1007/s12110-010-9091-3
Keywords
Food sharing; Cooperation; Reciprocity; Kin selection; Social network analysis; ERGM
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Funding
- NICHD NIH HHS [T32 HD007168, T32 HD007543, T32 HD007168-31, R24 HD050924, T32 HD007543-10] Funding Source: Medline
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Exponential random graph modeling (ERGM) is used here to test hypotheses derived from human behavioral ecology about the adaptive nature of human food sharing. Respondents in all (n = 317) households in the fishing and sea-hunting village of Lamalera, Indonesia, were asked to name those households to whom they had more frequently given (and from whom they had more frequently received) food during the preceding sea-hunting season. The responses were used to construct a social network of between-household food-sharing relationships in the village. The results show that kinship, proximity, and reciprocal sharing all strongly increase the probability of giving food to a household. The effects of kinship and distance are relatively independent of each other, although reciprocity is more common among residentially and genealogically close households. The results show support for reciprocal altruism as a motivation for food sharing, while kinship and distance appear to be important partner-choice criteria.
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