Animal social network inference and permutations for ecologists in R using asnipe

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Trends and perspectives on the use of animal social network analysis in behavioural ecology: a bibliometric approach (2019, methodology): “Until the advent of open access software and relatively easy-to-use social network R packages (e.g. Cs ardi & Nepusz, 2006; Farine, 2013, 2014), our findings suggest the social network subdiscipline went through some degree of methodological disarray.”
Environment modulates population social structure: Experimental evidence from replicated social networks of wild lizards (2016, methodology): “Binary networks were created using the package asnipe (Farine, 2013) in R (R Core Team, 2013), with association matrices defining an edge between nodes if two individuals were observed in direct contact at least once during the week.”
Constructing, conducting and interpreting animal social network analysis (2015, background): “This involves keeping different aspects of the data constant in each model to identify whether they affect social structure (Farine 2013b).”
A guide to null models for animal social network analysis (2017, methodology): “For this paper (and elsewhere, e.g. Farine 2013; Boogert, Farine & Spencer 2014; Farine & Whitehead 2015), I have found that linear or mixedmodels are useful for extracting test statistics when comparing among nodes in a network.”