Reprint of: Using Trellis software to enhance high-quality large-scale network data collection in the field

• Published in: Social networks 2022-05, Vol.69, p.293-306
• Main Authors: Lungeanu, Alina, McKnight, Mark, Negron, Rennie, Munar, Wolfgang, Christakis, Nicholas A., Contractor, Noshir S.
• Format: Article
• Language: English
• Subjects: Data collection; Graphical interface; Human nature; Mobile social network survey technologies; Online surveys; Rural network data collection; Social networks; Software; Software data collection; Time of day; Villages
• ISSN: 0378-8733; 1879-2111
• DOI: 10.1016/j.socnet.2022.01.004

•Trellis network data collection platform enables name disambiguation.•Trellis network data collection platform enables multiple language interviews.•Trellis report allows for real-time monitoring of data collection.•Trellis network data collection platform can be used offline in remote areas. 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.