Matthew J. Silk

TL;DR: This article details several multilayer methods, which can provide new insights into questions about animal sociality at individual, group, population and evolutionary levels of organization, and gives examples for how to implement multilayers methods.

TL;DR: Investigating the interaction between social structure and environmental covariates can promote a deeper understanding of the evolution of social behaviour and the adaptive value of group living, as well as having important consequences for applied research.

TL;DR: An introductory guide to using social‐network‐analytical approaches in wildlife disease ecology, epidemiology, and management by suggesting the research questions to which each technique is best suited and detailing the software available for each.

TL;DR: This work demonstrates that valid inferences about individual social position and strategy can be made using partial networks in a wide range of animal social networks, highlighting the value of applying these methods in large long-term study populations.

TL;DR: It is argued that developments in the statistical analysis of empirical contact data are critical given the ready availability of dynamic network data from bio‐logging studies, and improved integration of statistical network approaches into epidemiological research is encouraged to facilitate the generation of novel modelling frameworks and help extend the understanding of disease transmission in natural populations.