방법 비교

	Structural Equivalence	Positional Analysis	사회 연결망 분석
분야	Sociology	Sociology	네트워크 분석
계열	Process / pipeline	Process / pipeline	Machine learning
기원 연도	1971	1976	1934 (sociometry); 1994 (modern formalization)
창시자	François Lorrain & Harrison White	Harrison White, Ronald Burt, and colleagues	Moreno, J.L.; formalized by Wasserman & Faust
유형	Equivalence relation grouping actors with identical tie patterns	Framework for identifying network positions and the roles among them	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.	Burt, R. S. (1976). Positions in networks. Social Forces, 55(1), 93–122.	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	role analysis, positional role analysis, network role and position analysis, regular equivalence analysis	SNA, network analysis, sociometric analysis, relational analysis
관련	5	5	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.	Positional analysis is the network-analytic program that identifies the positions actors occupy — sets of actors equivalent in their relational patterns — and characterizes the system of roles that links those positions. Growing out of Harrison White's structuralism and Ronald Burt's operationalization in the 1970s, it treats the social structure as a small set of positions and the role relations among them, rather than as a collection of individual actors.	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.