方法对比

	Structural Equivalence	Blockmodeling	社会网络分析
领域	Sociology	Sociology	网络分析
方法族	Process / pipeline	Process / pipeline	Machine learning
起源年份	1971	1976	1934 (sociometry); 1994 (modern formalization)
提出者	François Lorrain & Harrison White	Harrison White, Scott Boorman & Ronald Breiger	Moreno, J.L.; formalized by Wasserman & Faust
类型	Equivalence relation grouping actors with identical tie patterns	Network partitioning into positions and a reduced role structure	Structural/relational analysis framework
开创性文献	Lorrain, F., & White, H. C. (1971). Structural equivalence of individuals in social networks. The Journal of Mathematical Sociology, 1(1), 49–80.	White, H. C., Boorman, S. A., & Breiger, R. L. (1976). Social structure from multiple networks. I. Blockmodels of roles and positions. American Journal of Sociology, 81(4), 730–780.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
别名	structural equivalence analysis, positional equivalence, Euclidean equivalence of actors, equivalence classes	block modeling, blockmodel analysis, generalized blockmodeling, CONCOR	SNA, network analysis, sociometric analysis, relational analysis
相关	5	4	5
摘要	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.	Blockmodeling is a family of methods that simplify a social network by partitioning its actors into positions — groups of actors who are equivalent in their pattern of ties — and summarizing the relations between positions as a compact image, or reduced role structure. Introduced by Harrison White, Scott Boorman, and Ronald Breiger in 1976, it shifts attention from individuals to the structural roles they occupy.	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.