Aggressive interactions influence cognitive performance in Western Australian magpies

Extensive research has investigated the relationship between the social environment and cognition, suggesting that social complexity may drive cognitive evolution and development. However, evidence for this relationship remains equivocal. Group size is often used as a measure of social complexity, but this may not capture intraspecific variation in social interactions. Social network analysis can provide insight into the cognitively demanding challenges associated with group-living at the individual-level. Here, we use social networks to investigate whether the cognitive performance of wild Western Australian magpies (Gymnorhina tibicen dorsalis) is related to group size and individual social connectedness. We quantified social connectedness using four interaction types: proximity, affiliative, agonistic, and vocal. Consistent with previous research on this species, individuals in larger groups performed better on an associative learning task. However, social network position was also r..., , , # **Aggressive interactions influence cognitive performance in Western Australian magpies**

[https://doi.org/10.5061/dryad.98sf7m0r0](https://doi.org/10.5061/dryad.98sf7m0r0)

Dataset contains the R script, data files (.csv) for all analyses and the supplementary material.

## Description of the data and file structure

Dataset includes:

* SN - Data for individuals with social network metrics
* GS Stable - Data for individuals with stable group sizes
* RPT COG - Cognition repeatability data
* RPT AG ALL - Repeatability for agonistic data
* RPT V ALL - Repeatability for vocal data

### Description of the data and file structure

The SNP & Cognition Code is the main R code file use for analysis.

Each data file (.csv) is labelled according to the analysis (SN for social network GLMM, GS stable for group size analysis and RPT for repeatability analysis). SN is the main analysis file containing scores and social network metrics for GLMMs. GS stable is the file for analysis o...