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Avoiding spurious findings of nonrandom social...
Journal article

Avoiding spurious findings of nonrandom social structure in association data

Abstract

Researchers studying animal societies often begin by testing whether a population shows nonrandom social structure, by comparing observed social associations with the predictions of a null model. Association data comprises observations of individuals in groups, which are observed through repeated surveys. Each survey is conducted on a discrete occasion, for example, within 1 day or 1 week. Current null models randomize the interactions among …

Authors

Sundaresan SR; Fischhoff IR; Dushoff J

Journal

Animal Behaviour, Vol. 77, No. 6, pp. 1381–1385

Publisher

Elsevier

Publication Date

June 2009

DOI

10.1016/j.anbehav.2009.01.021

ISSN

0003-3472