dyadic_csi: Calculate composite sociality indices from a set of social...

In MNWeiss/aninet: Statistical Models for Animal Social Networks

Calculate composite sociality indices from a set of social networks

Description

Collapses multiple types of interaction or association into a single network of composite indices of social relationships

Usage

dyadic_csi(networks)

Arguments

networks

A list of networks from which to calculate composite indices. Must be of the same dimensions, and in the same order.

Details

Dyadic composite sociality indices are calculated as in Sapolsky et al. (1991). The dyadic CSI is calculated as:

CSI_{ij} = frac{sum_{d = 1}^{D} frac{f_{dij}}{\bar{f_d}} } {D}

Before calculating these indices, it is important to consider whether the included networks positively covary. For example, grooming and proximity may be useful for generating a composite index, but it likely does not make sense to combine grooming and aggression.

Value

A square matrix of dyadic compisite sociality indices

MNWeiss/aninet documentation built on Jan. 31, 2023, 3:55 a.m.