Integrating ancient DNA–derived networks of biological kinship with demographic and cultural variables presents a significant methodological challenge.
We first introduced the method in Wang et al. 2025 via an analysis of Avar cemteries in Austria. However, we saw a generalised need for the method, and wrote a paper describing the method that has now been accepted for publication.
In our methods paper, we demonstrate that Exponential Random Graph Models (ERGMs) provide a statistically-rigorous framework for detecting and quantifying the factors that structure such networks. We then apply ERGMs to individuals from four 6th-9th-century Hungarian Avar cemeteries. We confirm a pattern of female-biased mobility consistent with women relocating to reside with their partners, and show that biologically-related individuals are more likely to share burial customs. Finally, we find that individuals buried with elite horse-riding equipment are more likely to be related, suggesting social stratification. Together, we establish a robust methodological approach for investigating ancient biological-kinship networks that offer new insights into the cultural practices and everyday lives of past populations.
We first introduced the method in Wang et al. 2025 via an analysis of Avar cemteries in Austria. However, we saw a generalised need for the method, and wrote a paper describing the method that has now been accepted for publication.
In our methods paper, we demonstrate that Exponential Random Graph Models (ERGMs) provide a statistically-rigorous framework for detecting and quantifying the factors that structure such networks. We then apply ERGMs to individuals from four 6th-9th-century Hungarian Avar cemeteries. We confirm a pattern of female-biased mobility consistent with women relocating to reside with their partners, and show that biologically-related individuals are more likely to share burial customs. Finally, we find that individuals buried with elite horse-riding equipment are more likely to be related, suggesting social stratification. Together, we establish a robust methodological approach for investigating ancient biological-kinship networks that offer new insights into the cultural practices and everyday lives of past populations.
Work done with my colleagues: