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	Blockmodeling	Positional Analysis	सामाजिक नेटवर्क विश्लेषण
क्षेत्र	Sociology	Sociology	नेटवर्क विश्लेषण
परिवार	Process / pipeline	Process / pipeline	Machine learning
उद्भव वर्ष	1976	1976	1934 (sociometry); 1994 (modern formalization)
प्रवर्तक	Harrison White, Scott Boorman & Ronald Breiger	Harrison White, Ronald Burt, and colleagues	Moreno, J.L.; formalized by Wasserman & Faust
प्रकार	Network partitioning into positions and a reduced role structure	Framework for identifying network positions and the roles among them	Structural/relational analysis framework
मौलिक स्रोत	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.	Burt, R. S. (1976). Positions in networks. Social Forces, 55(1), 93–122.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
उपनाम	block modeling, blockmodel analysis, generalized blockmodeling, CONCOR	role analysis, positional role analysis, network role and position analysis, regular equivalence analysis	SNA, network analysis, sociometric analysis, relational analysis
संबंधित	4	5	5
सारांश	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.	Positional analysis is the network-analytic program that identifies the positions actors occupy — sets of actors equivalent in their relational patterns — and characterizes the system of roles that links those positions. Growing out of Harrison White's structuralism and Ronald Burt's operationalization in the 1970s, it treats the social structure as a small set of positions and the role relations among them, rather than as a collection of individual actors.	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.