方法对比

	Blockmodeling	Homophily Analysis	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	1976	1954 (concept); 2001 (synthesis)	1934 (sociometry); 1994 (modern formalization)
提出者	Harrison White, Scott Boorman & Ronald Breiger	Lazarsfeld & Merton (concept); McPherson, Smith-Lovin & Cook (synthesis)	Moreno, J.L.; formalized by Wasserman & Faust
类型	Network partitioning into positions and a reduced role structure	Measurement of similarity-based tie formation	Structural/relational analysis framework
开创性文献	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.	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
别名	block modeling, blockmodel analysis, generalized blockmodeling, CONCOR	homophily measurement, assortative mixing analysis, birds-of-a-feather analysis, tie-similarity analysis	SNA, network analysis, sociometric analysis, relational analysis
相关	4	4	5
摘要	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.	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.