방법 비교

	Structural Equivalence	Homophily Analysis	사회 연결망 분석
분야	Sociology	Sociology	네트워크 분석
계열	Process / pipeline	Process / pipeline	Machine learning
기원 연도	1971	1954 (concept); 2001 (synthesis)	1934 (sociometry); 1994 (modern formalization)
창시자	François Lorrain & Harrison White	Lazarsfeld & Merton (concept); McPherson, Smith-Lovin & Cook (synthesis)	Moreno, J.L.; formalized by Wasserman & Faust
유형	Equivalence relation grouping actors with identical tie patterns	Measurement of similarity-based tie formation	Structural/relational analysis framework
원전	Lorrain, F., & White, H. C. (1971). Structural equivalence of individuals in social networks. The Journal of Mathematical Sociology, 1(1), 49–80.	McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: homophily in social networks. Annual Review of Sociology, 27, 415–444.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
별칭	structural equivalence analysis, positional equivalence, Euclidean equivalence of actors, equivalence classes	homophily measurement, assortative mixing analysis, birds-of-a-feather analysis, tie-similarity analysis	SNA, network analysis, sociometric analysis, relational analysis
관련	5	4	5
요약	Structural equivalence identifies actors who occupy the same position in a network because they have identical ties to identical others. Defined by François Lorrain and Harrison White in 1971, it formalizes the idea that two people are interchangeable in the social structure when they relate to exactly the same set of third parties, and it provides the foundation for partitioning networks into positions and building blockmodels.	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.