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.

网格是由耶鲁大学网络科学研究所的人性实验室创建的移动平台，用于收集难以定位的高质量，位置感知，离线/在线，多语言，多关系的社交网络和行为数据社区。受访者使用Trellis通过姓名和照片来识别他们的社交联系，此程序在识字率低的人群或姓名相似或令人困惑的环境中特别有用。我们使用从肯尼亚两个村庄的1,969名成年受访者那里收集的社交网络数据，来证明Trellis提供前所未有的元数据来监视和报告数据收集过程的能力，这些过程包括基于调查员，一天中的时间或位置的人为变异。