Compara mètodes

	Blockmodeling	Dyadic Analysis	Homophily Analysis
Camp	Sociology	Sociology	Sociology
Família	Process / pipeline	Regression model	Process / pipeline
Any d'origen	1976	1981	1954 (concept); 2001 (synthesis)
Autor original	Harrison White, Scott Boorman & Ronald Breiger	Holland & Leinhardt (p1); Kenny (Social Relations Model)	Lazarsfeld & Merton (concept); McPherson, Smith-Lovin & Cook (synthesis)
Tipus	Network partitioning into positions and a reduced role structure	Analysis of the dyad as the unit, decomposing relational effects	Measurement of similarity-based tie formation
Font seminal	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.	Holland, P. W., & Leinhardt, S. (1981). An exponential family of probability distributions for directed graphs. Journal of the American Statistical Association, 76(373), 33–50.	McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: homophily in social networks. Annual Review of Sociology, 27, 415–444.
Àlies	block modeling, blockmodel analysis, generalized blockmodeling, CONCOR	dyad analysis, dyadic data analysis, social relations model, dyad census	homophily measurement, assortative mixing analysis, birds-of-a-feather analysis, tie-similarity analysis
Relacionats	4	4	4
Resum	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.	Dyadic analysis treats the dyad — the pair of actors and the relation between them — as the unit of analysis, separating the relational outcome into what each actor brings to all their relationships and what is unique to the specific pair. It spans the descriptive dyad census of network analysis and statistical frameworks such as Holland and Leinhardt's p1 model and Kenny's Social Relations Model, all of which respect the structural non-independence inherent in relational data.	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.