手法を比較

	Structural Balance Theory	Blockmodeling	ソーシャルネットワーク分析
分野	Sociology	Sociology	ネットワーク分析
系統	Process / pipeline	Process / pipeline	Machine learning
提唱年	1946 (Heider); 1956 (Cartwright & Harary)	1976	1934 (sociometry); 1994 (modern formalization)
提唱者	Fritz Heider; formalized by Dorwin Cartwright & Frank Harary	Harrison White, Scott Boorman & Ronald Breiger	Moreno, J.L.; formalized by Wasserman & Faust
種類	Theory and graph-theoretic test for tension in signed relationships	Network partitioning into positions and a reduced role structure	Structural/relational analysis framework
原典	Cartwright, D., & Harary, F. (1956). Structural balance: a generalization of Heider's theory. Psychological Review, 63(5), 277–293.	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
別名	balance theory, Heider balance, signed network balance, structural balance analysis	block modeling, blockmodel analysis, generalized blockmodeling, CONCOR	SNA, network analysis, sociometric analysis, relational analysis
関連	5	4	5
概要	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'.	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.