방법 비교

	Blockmodeling	Dyadic Analysis	Isolation Index
분야	Sociology	Sociology	Sociology
계열	Process / pipeline	Regression model	Process / pipeline
기원 연도	1976	1981	1954
창시자	Harrison White, Scott Boorman & Ronald Breiger	Holland & Leinhardt (p1); Kenny (Social Relations Model)	Wendell Bell (formalization of P* indices)
유형	Network partitioning into positions and a reduced role structure	Analysis of the dyad as the unit, decomposing relational effects	Exposure-dimension segregation index
원전	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.	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.	Bell, W. (1954). A probability model for the measurement of ecological segregation. Social Forces, 32(4), 357–364.
별칭	block modeling, blockmodel analysis, generalized blockmodeling, CONCOR	dyad analysis, dyadic data analysis, social relations model, dyad census	P* isolation index, interaction index, exposure index, Bell isolation index
관련	4	4	5
요약	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.	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.	The isolation index measures the exposure dimension of segregation: the extent to which members of a minority group are exposed only to one another rather than to members of other groups. It answers the question 'what is the own-group share of the typical neighbor (or classmate, or coworker) that a member of the focal group encounters?' Unlike evenness measures, it depends on the relative size of the group as well as its spatial distribution.