This paper advances an hypothesis that the primary adaptive driver of seasonal migration is
maintenance of site fidelity to familiar breeding locations. We argue that seasonal migration …

Highlights•We review the mathematical formalism of multilayer networks for animal
behaviour.•It allows the investigation of new research questions in animal social …

Null models are an important component of the social network analysis toolbox. However,
their use in hypothesis testing is still not widespread. Furthermore, several different …

Statistical node clustering in discrete time dynamic networks is an emerging field that raises
many challenges. Here, we explore statistical properties and frequentist inference in a …

Demographic processes play a key role in shaping the patterns of social relations among
individuals in a population. Social network analysis is a powerful quantitative tool for …

We present a selective review of statistical modeling of dynamic networks. We focus on
models with latent variables, specifically, the latent space models and the latent class …

Highlights•Social networks may be useful to quantify individual differences in sociality.•We
test this by measuring individual consistency in replicated social networks.•A population of …

The social network structure of animal populations has major implications for survival,
reproductive success, sexual selection and pathogen transmission of individuals. But as of …

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

Frequent and severe disruptions of natural river flows associated with human activities
significantly alter hydrological connectivity in large river networks, with deleterious effects on …