Abstract
Trellis is a mobile platform created by the Human Nature Lab at the Yale Institute for Network Science to collect high-quality, location-aware, off-line/online, multi-lingual, multi-relational social network and behavior data in hard-to-reach communities. Respondents use Trellis to identify their social contacts by name and photograph, a procedure especially useful in low-literacy populations or in contexts where names may be similar or confusing. We use social network data collected from 1,969 adult respondents in two villages in Kenya to demonstrate Trellis’ ability to provide unprecedented metadata to monitor and report on the data collection process including artifactual variability based on surveyors, time of day, or location.
Original language | English (US) |
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Pages (from-to) | 171-184 |
Number of pages | 14 |
Journal | Social Networks |
Volume | 66 |
DOIs | |
State | Published - Jul 2021 |
Funding
This research was supported by the Bill & Melinda Gates Foundation through grants [ OPP1135005 ] to George Washington University and [ OPP1098684 ] to Yale University, the Robert Wood Johnson Foundation , grant number [ 71217 ], and the National Institutes of Health, grant [ P30-AG034420 ] from the National Institute on Aging.
Keywords
- Graphical interface
- Mobile social network survey technologies
- Online surveys
- Rural network data collection
- Software data collection
ASJC Scopus subject areas
- Anthropology
- Sociology and Political Science
- General Social Sciences
- General Psychology