Social network analysis has achieved remarkable popularity in disease ecology, and is
sometimes carried out without investigating spatial heterogeneity. Many investigations into …

Analysing social networks is challenging. Key features of relational data require the use of
non‐standard statistical methods such as develo** system‐specific null, or reference …

The increased popularity and accessibility of social network analysis has improved our
ability to test hypotheses about complex animal social structures. To gain a deeper …

GPS‐based tracking is widely used for studying wild social animals. Much like traditional
observational methods, using GPS devices requires making a number of decisions about …

The ongoing explosion of fine‐resolution movement data in animal systems provides a
unique opportunity to empirically quantify spatial, temporal and individual variation in …

Early‐life experiences can drive subsequent variation in social behaviours, but how
differences among individuals emerge remains unknown. We combined experimental …

Collective behaviour has a critical influence on group social structure and organization,
individual fitness and social evolution, but we know little about whether and how it changes …

Social animals make behavioural decisions based on local habitat and conspecifics, as well
as memorized past experience (ie 'familiarity') with habitat and conspecifics. Here, we …

Highlights•We outline quantitative and qualitative issues associated with metric hacking.•We
provide guidance on the appropriate use of multiple network metrics.•We encourage diligent …

Animals use a variety of proximate cues to assess habitat quality when resources vary
spatiotemporally. Two nonmutually exclusive strategies to assess habitat quality involve …