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

doi:10.1016/j.socnet.2021.02.007

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 journal › Article › peer-review

15 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 language	English (US)
Pages (from-to)	171-184
Number of pages	14
Journal	Social Networks
Volume	66
DOIs	https://doi.org/10.1016/j.socnet.2021.02.007
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

Access to Document

10.1016/j.socnet.2021.02.007

Cite this

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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{\textquoteright} 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.",

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AU - Christakis, Nicholas A.

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

Abstract

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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