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Blockmodeling×Positional Analysis×Análise de Redes Sociais×
ÁreaSociologySociologyAnálise de redes
FamíliaProcess / pipelineProcess / pipelineMachine learning
Ano de origem197619761934 (sociometry); 1994 (modern formalization)
Autor originalHarrison White, Scott Boorman & Ronald BreigerHarrison White, Ronald Burt, and colleaguesMoreno, J.L.; formalized by Wasserman & Faust
TipoNetwork partitioning into positions and a reduced role structureFramework for identifying network positions and the roles among themStructural/relational analysis framework
Fonte seminalWhite, 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 ↗Burt, R. S. (1976). Positions in networks. Social Forces, 55(1), 93–122. DOI ↗Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Outros nomesblock modeling, blockmodel analysis, generalized blockmodeling, CONCORrole analysis, positional role analysis, network role and position analysis, regular equivalence analysisSNA, network analysis, sociometric analysis, relational analysis
Relacionados455
ResumoBlockmodeling 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.
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ScholarGateComparar métodos: Blockmodeling · Positional Analysis · Social Network Analysis. Recuperado em 2026-06-25 de https://scholargate.app/pt/compare