Past social network reconstruction from material culture data

Social networks shape human behavior and interactions. They are a medium through which beliefs, innovations, and diseases spread. An accurate reconstruction of past social networks using archaeological data is crucial for understanding cultural and disease transmissions in past and present human societies, but our empirical understanding of past social networks is in its infancy. How did social network structures change over centuries, and how did innovations and disease flow through them?
This data-driven project establishes interdisciplinary collaboration between archaeologists and network scientists to create the first integrated computational workflow for reconstructing past social networks from material culture data. It will enhance archaeological methods and theory for network data representation of material culture data and for testing assumptions about how this data reflects past social networks. It will also enrich network science: archaeology provides network data with critical incompleteness issues but that is also rich in metadata. The project will enable studies on the diversity of social networks of our species, and how processes evolve over long time periods beyond the scope of current social network studies.