To investigate the consequences of name generators for network data, we compare characteristics of egocentric networks from Wellman's East York survey, Fischer's Northern California Communities Study, the General Social Survey, and our study of networks in 81 Nashville, Tennessee neighborhoods. Network size, age and education heterogeneity, and average tie characteristics were most strongly affected by the name generator used. Network composition, and racial and sexual heterogeneity, were more invariant across different kinds of name generators.
All Science Journal Classification (ASJC) codes
- Sociology and Political Science
- Social Sciences(all)