Compare methods
Review your selected methods side by side; rows that differ are highlighted.
| Name Generator Method× | Social Network Analysis× | |
|---|---|---|
| Field≠ | Sociology | Network analysis |
| Family≠ | Process / pipeline | Machine learning |
| Year of origin≠ | 1984 (GSS network module) | 1934 (sociometry); 1994 (modern formalization) |
| Originator≠ | Survey network methodology; Ronald Burt (GSS module) | Moreno, J.L.; formalized by Wasserman & Faust |
| Type≠ | Survey instrument for eliciting personal-network members and attributes | Structural/relational analysis framework |
| Seminal source≠ | Burt, R. S. (1984). Network items and the General Social Survey. Social Networks, 6(4), 293–339. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| Aliases | name generator, name interpreter, egocentric network survey, personal network name generator | SNA, network analysis, sociometric analysis, relational analysis |
| Related | 5 | 5 |
| Summary≠ | The name generator is the standard survey technique for collecting egocentric (personal) network data. A respondent (ego) is prompted to name the people (alters) with whom they have a specified kind of relationship — those with whom they discuss important matters, exchange support, or socialize. A follow-up battery of name-interpreter questions then records each alter's attributes and the ties among the alters, yielding measures of network size, composition, density, and diversity for each respondent. | Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system. |
| ScholarGateDataset ↗ |
|
|