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Triad Census×Blockmodeling×Социальный сетевой анализ×
ОбластьSociologySociologyСетевой анализ
СемействоProcess / pipelineProcess / pipelineMachine learning
Год появления197019761934 (sociometry); 1994 (modern formalization)
Автор методаPaul Holland & Samuel LeinhardtHarrison White, Scott Boorman & Ronald BreigerMoreno, J.L.; formalized by Wasserman & Faust
ТипEnumeration of the 16 isomorphism classes of directed triadsNetwork partitioning into positions and a reduced role structureStructural/relational analysis framework
Основополагающий источникHolland, P. W., & Leinhardt, S. (1970). A method for detecting structure in sociometric data. American Journal of Sociology, 76(3), 492–513. DOI ↗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. DOI ↗Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Другие названияtriad count, triadic census, 16-type triad census, MAN triad censusblock modeling, blockmodel analysis, generalized blockmodeling, CONCORSNA, network analysis, sociometric analysis, relational analysis
Связанные445
СводкаThe triad census counts how many of a directed network's three-actor subgroups fall into each of the 16 possible types of triad, providing a compact fingerprint of the network's local structure. Introduced by Paul Holland and Samuel Leinhardt in 1970, it is the standard way to test structural theories — balance, clustering, transitivity, ranked clusters — by comparing the observed distribution of triad types against what a random network would produce.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.
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ScholarGateСравнение методов: Triad Census · Blockmodeling · Social Network Analysis. Получено 2026-06-25 из https://scholargate.app/ru/compare