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

Alina Lungeanu*, Mark McKnight, Rennie Negron, Wolfgang Munar, Nicholas A. Christakis, Noshir S. Contractor

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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 languageEnglish (US)
Pages (from-to)171-184
Number of pages14
JournalSocial Networks
Volume66
DOIs
StatePublished - Jul 2021

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
  • Social Sciences(all)
  • Psychology(all)

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