Сравнение методов

	Blockmodeling	Социальный сетевой анализ	Structural Balance Theory
Область	Sociology	Сетевой анализ	Sociology
Семейство	Process / pipeline	Machine learning	Process / pipeline
Год появления	1976	1934 (sociometry); 1994 (modern formalization)	1946 (Heider); 1956 (Cartwright & Harary)
Автор метода	Harrison White, Scott Boorman & Ronald Breiger	Moreno, J.L.; formalized by Wasserman & Faust	Fritz Heider; formalized by Dorwin Cartwright & Frank Harary
Тип	Network partitioning into positions and a reduced role structure	Structural/relational analysis framework	Theory and graph-theoretic test for tension in signed relationships
Основополагающий источник	White, H. C., Boorman, S. A., & Breiger, R. L. (1976). Social structure from multiple networks. I. Blockmodels of roles and positions. American Journal of Sociology, 81(4), 730–780.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1	Cartwright, D., & Harary, F. (1956). Structural balance: a generalization of Heider's theory. Psychological Review, 63(5), 277–293.
Другие названия	block modeling, blockmodel analysis, generalized blockmodeling, CONCOR	SNA, network analysis, sociometric analysis, relational analysis	balance theory, Heider balance, signed network balance, structural balance analysis
Связанные	4	5	5
Сводка	Blockmodeling is a family of methods that simplify a social network by partitioning its actors into positions — groups of actors who are equivalent in their pattern of ties — and summarizing the relations between positions as a compact image, or reduced role structure. Introduced by Harrison White, Scott Boorman, and Ronald Breiger in 1976, it shifts attention from individuals to the structural roles they occupy.	Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system.	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'.