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Entropy 2013, 15(11), 4932-4955; doi:10.3390/e15114932
Article

Dynamical Structure of a Traditional Amazonian Social Network

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Received: 24 September 2013 / Revised: 30 October 2013 / Accepted: 31 October 2013 / Published: 13 November 2013
(This article belongs to the Special Issue Social Networks and Information Diffusion)
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Abstract

Reciprocity is a vital feature of social networks, but relatively little is known about its temporal structure or the mechanisms underlying its persistence in real world behavior. In pursuit of these two questions, we study the stationary and dynamical signals of reciprocity in a network of manioc beer (Spanish: chicha; Tsimane’: shocdye’) drinking events in a Tsimane’ village in lowland Bolivia. At the stationary level, our analysis reveals that social exchange within the community is heterogeneously patterned according to kinship and spatial proximity. A positive relationship between the frequencies at which two families host each other, controlling for kinship and proximity, provides evidence for stationary reciprocity. Our analysis of the dynamical structure of this network presents a novel method for the study of conditional, or non-stationary, reciprocity effects. We find evidence that short-timescale reciprocity (within three days) is present among non- and distant-kin pairs; conversely, we find that levels of cooperation among close kin can be accounted for on the stationary hypothesis alone.
Keywords: social systems; social networks; time-series analysis; cooperation; reciprocity; kinship; Tsimane’; forager-horticulturalists social systems; social networks; time-series analysis; cooperation; reciprocity; kinship; Tsimane’; forager-horticulturalists
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Hooper, P.L.; DeDeo, S.; Caldwell Hooper, A.E.; Gurven, M.; Kaplan, H.S. Dynamical Structure of a Traditional Amazonian Social Network. Entropy 2013, 15, 4932-4955.

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