Food-Sharing Networks in Lamalera, Indonesia

Human Nature 21 (3):243-268 (2010)

Abstract
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
Keywords Food sharing  Cooperation  Reciprocity  Kin selection  Social network analysis  ERGM
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DOI 10.1007/s12110-010-9091-3
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References found in this work BETA

The Major Transitions in Evolution.John Maynard Smith & Eors Szathmary - 1996 - Journal of the History of Biology 29 (1):151-152.

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