Precision and power in the analysis of social structure using associations

By Hal Whitehead. 2008

171 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/6615da7112b1d95f53f2f49cc57fedacabb92c11

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In Experimental and Cognitive Psychology

In Statistical and Nonlinear Physics

Citations in the corpus

Do social networks of female northern long-eared bats vary with reproductive period and age? (2010, methodology): “Both strength and reach were calculated using SOCPROG 2.3 (Whitehead 2008a).”
Multilevel Societies of Female Sperm Whales (Physeter macrocephalus) in the Atlantic and Pacific: Why Are They So Different? (2012, methodology): “…association as diving within 10 min, and using daily sampling periods as in Christal and Whitehead (2001), by the likelihood method described by Whitehead (2008), and its standard error (SE) using the nonparametric bootstrap with sampling periods chosen randomly with replacement for each of…”
Social cohesion in a hierarchically structured embayment population of Indo-Pacific bottlenose dolphins (2009, methodology): “68, showing the data set has reasonable power to detect the correct social system (Whitehead 2008a).”
SOCPROG programs: analysing animal social structures (2009, unknown): “Please see the SOCPROG manual or Whitehead (2008b) for advice.”
Dolphins restructure social system after reduction of commercial fisheries (2012, methodology): “To test whether our data accurately described the social structure of the dolphins, we calculated the social differentiation (S) as the variation among pairs of individuals in terms of time actually spent together, and the correlation between true and estimated association indices (r; Whitehead 2008”
Disentangling social networks from spatiotemporal dynamics: the temporal structure of a dolphin society (2012, methodology): “We estimated the coefficient of variation (CV) of the observed HWI, which describes the heterogeneity of relationships, using maximum likelihood (Whitehead 2008b).”