方法对比

	Triad Census	Dyadic Analysis
领域	Sociology	Sociology
方法族	Process / pipeline	Regression model
起源年份	1970	1981
提出者	Paul Holland & Samuel Leinhardt	Holland & Leinhardt (p1); Kenny (Social Relations Model)
类型	Enumeration of the 16 isomorphism classes of directed triads	Analysis of the dyad as the unit, decomposing relational effects
开创性文献	Holland, P. W., & Leinhardt, S. (1970). A method for detecting structure in sociometric data. American Journal of Sociology, 76(3), 492–513.	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.
别名	triad count, triadic census, 16-type triad census, MAN triad census	dyad analysis, dyadic data analysis, social relations model, dyad census
相关	4	4
摘要	The triad census counts how many of a directed network's three-actor subgroups fall into each of the 16 possible types of triad, providing a compact fingerprint of the network's local structure. Introduced by Paul Holland and Samuel Leinhardt in 1970, it is the standard way to test structural theories — balance, clustering, transitivity, ranked clusters — by comparing the observed distribution of triad types against what a random network would produce.	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.