L. J. N. Brent

The paper introduces MacaqueNet, a standardized database of social network data from 14 macaque species, to facilitate comparative research on social relationships.

This study examines how early life adversity affects survival in male and female rhesus macaques, finding sex-dependent differences in mortality risk across the lifespan.

This paper reviews how social adversity affects aging in rhesus macaques, focusing on ecological and social factors and the impact of Hurricane Maria.

This study examines how social relationships affect parasitic infection risk in rhesus macaques, finding that affiliative partners reduce protozoa infection risk, while social status does not.

This study examines how ageing affects social network structure in rhesus macaques using empirical data and an agent-based model, finding age-related changes in indirect connectivity but no overall network structure age distribution relationship.

This study shows that older female rhesus macaques reduce their social networks and prioritize previously beneficial partners, indicating social selectivity with age.

The paper investigates how sociality affects injury risk and survival in rhesus macaques, finding that social integration reduces injury risk but not mortality after injury.

BISoN provides a Bayesian framework to quantify uncertainty in social network edge weights and supports downstream analyses using observational data.

This study examines how age, sex, and social status affect immune cell composition in rhesus macaques, revealing age-related immunosenescence and sex-dependent effects of social adversity.

This paper shows that common permutation methods in social network analysis do not properly account for non-independence, suggesting parametric models may be more reliable.

The paper develops a method to estimate network correlation and power analysis for social networks built from count data, showing that network correlation impacts statistical power and providing an R package for implementation.

The paper shows that common datastream permutations are not suitable for testing regression models in animal social networks due to high false-positive rates.