Using Trellis software to enhance high-quality large-scale network data collection in the field
Document Type
Journal Article
Publication Date
7-1-2021
Journal
Social Networks
Volume
66
DOI
10.1016/j.socnet.2021.02.007
Keywords
Graphical interface; Mobile social network survey technologies; Online surveys; Rural network data collection; Software data collection
Abstract
© 2021 The Authors 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.
APA Citation
Lungeanu, A., McKnight, M., Negron, R., Munar, W., Christakis, N., & Contractor, N. (2021). Using Trellis software to enhance high-quality large-scale network data collection in the field. Social Networks, 66 (). http://dx.doi.org/10.1016/j.socnet.2021.02.007