Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Structural Balance Theory× | Dyadic Analysis× | |
|---|---|---|
| Domaine | Sociology | Sociology |
| Famille≠ | Process / pipeline | Regression model |
| Année d'origine≠ | 1946 (Heider); 1956 (Cartwright & Harary) | 1981 |
| Auteur d'origine≠ | Fritz Heider; formalized by Dorwin Cartwright & Frank Harary | Holland & Leinhardt (p1); Kenny (Social Relations Model) |
| Type≠ | Theory and graph-theoretic test for tension in signed relationships | Analysis of the dyad as the unit, decomposing relational effects |
| Source fondatrice≠ | Cartwright, 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 ↗ |
| Alias | balance theory, Heider balance, signed network balance, structural balance analysis | dyad analysis, dyadic data analysis, social relations model, dyad census |
| Apparentées≠ | 5 | 4 |
| Résumé≠ | 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'. | 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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