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Using time allocation data for social network analysis

Anthropologists and behavioural ecologists commonly collect point scan data of research subjects, which record activities, relative positions, and interactions of all participants at regular intervals. This time allocation data has commonly been used to study variation in activity over the lifespan and as a function of life history variables. However, time allocation data also provides unique insight into individuals' social networks.  

During this talk, Ed Seabright will present two studies that draw on a rich time allocation dataset collected among Tsimane forager-farmers of Bolivia over the course of several years. In the first study, we test how couples' post-marital residence patterns affect women's social support networks. In the second study, we develop network-structured epidemiological models of disease spread among the Tsimane. 


Ed Seabright, The University of New Mexico 

Ed Seabright is a social and evolutionary anthropologist interested in how human social organisation affects welfare, health, and inequality. He has primarily conducted fieldwork in lowland Bolivia working with Tsimane and Moseten forager-farmers. He defended his PhD in Anthropology from the University of New Mexico in February of 2022 and have since taken on a position as Research and Education fellow at the School of Collective Intelligence, part of Morocco's Mohamed 6 Polytechnic University.  


Please note that this session will not be recorded


Follow webinar link. Free and open to all. No registration required.