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	Triad Census	Dyadic Analysis	Structural Balance Theory
Ämnesområde	Sociology	Sociology	Sociology
Familj	Process / pipeline	Regression model	Process / pipeline
Ursprungsår	1970	1981	1946 (Heider); 1956 (Cartwright & Harary)
Upphovsperson	Paul Holland & Samuel Leinhardt	Holland & Leinhardt (p1); Kenny (Social Relations Model)	Fritz Heider; formalized by Dorwin Cartwright & Frank Harary
Typ	Enumeration of the 16 isomorphism classes of directed triads	Analysis of the dyad as the unit, decomposing relational effects	Theory and graph-theoretic test for tension in signed relationships
Ursprungskälla	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.	Cartwright, D., & Harary, F. (1956). Structural balance: a generalization of Heider's theory. Psychological Review, 63(5), 277–293.
Alias	triad count, triadic census, 16-type triad census, MAN triad census	dyad analysis, dyadic data analysis, social relations model, dyad census	balance theory, Heider balance, signed network balance, structural balance analysis
Närliggande	4	4	5
Sammanfattning	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.	Structural balance theory analyzes networks whose ties carry a sign — positive for liking, alliance, or trust, negative for hostility or distrust — and asks which configurations are psychologically and socially stable. Originating in Fritz Heider's cognitive balance principle and given a graph-theoretic form by Dorwin Cartwright and Frank Harary in 1956, it predicts that signed networks evolve toward states free of the tension produced by inconsistent triads such as 'the friend of my enemy'.