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| Homophily Analysis× | Social Network Analysis× | |
|---|---|---|
| Field≠ | Sociology | Network analysis |
| Family≠ | Process / pipeline | Machine learning |
| Year of origin≠ | 1954 (concept); 2001 (synthesis) | 1934 (sociometry); 1994 (modern formalization) |
| Originator≠ | Lazarsfeld & Merton (concept); McPherson, Smith-Lovin & Cook (synthesis) | Moreno, J.L.; formalized by Wasserman & Faust |
| Type≠ | Measurement of similarity-based tie formation | Structural/relational analysis framework |
| Seminal source≠ | McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: homophily in social networks. Annual Review of Sociology, 27, 415–444. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| Aliases | homophily measurement, assortative mixing analysis, birds-of-a-feather analysis, tie-similarity analysis | SNA, network analysis, sociometric analysis, relational analysis |
| Related≠ | 4 | 5 |
| Summary≠ | Homophily analysis quantifies the tendency of similar individuals to form ties — the principle that 'birds of a feather flock together'. It compares the rate at which people connect with others who share an attribute (race, gender, age, education, attitudes) against what would be expected by chance, distinguishing the homophily that arises merely from group sizes from the genuine, behavior-driven preference for similar others. | 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. |
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