%0 Journal Article %A Ross, Cody %A Redhead, Daniel %+ Department of Human Behavior Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Max Planck Society Department of Human Behavior Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Max Planck Society %T Automatic entry and coding of social networks and dyadic peer ratings : %G eng %U https://hdl.handle.net/21.11116/0000-000C-DB30-7 %R 10.1177/20597991231160281 %7 2023-03-18 %D 2023 %8 18.03.2023 %* Review method: peer-reviewed %X In small-scale communities, social-scientists can use photo-rosters to collect social network and dyadic peer-ratings data. In past work, we introduced an R package to automate photo-standardization, survey construction, and data-entry. This R package, however, lacked two key features required for fully-unsupervised data-entry. First, respondent IDs needed to be manually linked to cellphone photographs of the photo-roster before DieTryin could process the data; second, users needed to identify the locations of the photo-roster in each cellphone photograph using a point-and-click interface. To address the first shortcoming, we introduce a new Android application, DieTryinCam, which facilitates annotation of cell-phone photographs with respondent, question, and panel IDs. To address the second shortcoming, we add new functionality to the DieTryin R package, which allows for the precise location of the photograph roster to be automatically identified. Automated data entry in DieTryin now requires no user input beyond a single function call from R. %J Methodological Innovations %V 16 %N 2 %& 138 %P 138 - 148 %I SAGE Publications Ltd %@ 2059-7991 %U https://github.com/ctross/DieTryinhttps://github.com/ctross/DieTryinCam