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  Automatic entry and coding of social networks and dyadic peer ratings

Ross, C., & Redhead, D. (2023). Automatic entry and coding of social networks and dyadic peer ratings. Methodological Innovations, 16(2), 138-148. doi:10.1177/20597991231160281.

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Ross_Automatic_MethInno_2023.pdf (Publisher version), 4MB
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Ross_Automatic_MethInno_2023.pdf
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2023
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This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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https://github.com/ctross/DieTryin (Research data)
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https://github.com/ctross/DieTryinCam (Research data)
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 Creators:
Ross, Cody1, Author                 
Redhead, Daniel1, Author                 
Affiliations:
1Department of Human Behavior Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_2173689              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2023-03-18
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1177/20597991231160281
 Degree: -

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Title: Methodological Innovations
Source Genre: Journal
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Publ. Info: SAGE Publications Ltd
Pages: - Volume / Issue: 16 (2) Sequence Number: - Start / End Page: 138 - 148 Identifier: ISBN: 2059-7991