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Structural Balance Theory×Dyadic Analysis×
FieldSociologySociology
FamilyProcess / pipelineRegression model
Year of origin1946 (Heider); 1956 (Cartwright & Harary)1981
OriginatorFritz Heider; formalized by Dorwin Cartwright & Frank HararyHolland & Leinhardt (p1); Kenny (Social Relations Model)
TypeTheory and graph-theoretic test for tension in signed relationshipsAnalysis of the dyad as the unit, decomposing relational effects
Seminal sourceCartwright, D., & Harary, F. (1956). Structural balance: a generalization of Heider's theory. Psychological Review, 63(5), 277–293. DOI ↗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. DOI ↗
Aliasesbalance theory, Heider balance, signed network balance, structural balance analysisdyad analysis, dyadic data analysis, social relations model, dyad census
Related54
SummaryStructural 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'.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.
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ScholarGateCompare methods: Structural Balance Theory · Dyadic Analysis. Retrieved 2026-06-24 from https://scholargate.app/en/compare