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Dyadic Analysis×Structural Balance Theory×
FieldSociologySociology
FamilyRegression modelProcess / pipeline
Year of origin19811946 (Heider); 1956 (Cartwright & Harary)
OriginatorHolland & Leinhardt (p1); Kenny (Social Relations Model)Fritz Heider; formalized by Dorwin Cartwright & Frank Harary
TypeAnalysis of the dyad as the unit, decomposing relational effectsTheory and graph-theoretic test for tension in signed relationships
Seminal sourceHolland, P. W., & Leinhardt, S. (1981). An exponential family of probability distributions for directed graphs. Journal of the American Statistical Association, 76(373), 33–50. DOI ↗Cartwright, D., & Harary, F. (1956). Structural balance: a generalization of Heider's theory. Psychological Review, 63(5), 277–293. DOI ↗
Aliasesdyad analysis, dyadic data analysis, social relations model, dyad censusbalance theory, Heider balance, signed network balance, structural balance analysis
Related45
SummaryDyadic 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'.
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ScholarGateCompare methods: Dyadic Analysis · Structural Balance Theory. Retrieved 2026-06-25 from https://scholargate.app/en/compare