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	Generalized Blockmodeling	सामाजिक नेटवर्क विश्लेषण
क्षेत्र	Sociology	नेटवर्क विश्लेषण
परिवार	Process / pipeline	Machine learning
उद्भव वर्ष	2005	1934 (sociometry); 1994 (modern formalization)
प्रवर्तक	Patrick Doreian, Vladimir Batagelj & Anuška Ferligoj	Moreno, J.L.; formalized by Wasserman & Faust
प्रकार	Direct optimization partition of a network into positions with typed blocks	Structural/relational analysis framework
मौलिक स्रोत	Doreian, P., Batagelj, V., & Ferligoj, A. (2005). Generalized Blockmodeling. Cambridge University Press. ISBN: 978-0-521-84085-9	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
उपनाम	generalized blockmodel, direct blockmodeling, pre-specified blockmodeling, Doreian-Batagelj-Ferligoj blockmodeling	SNA, network analysis, sociometric analysis, relational analysis
संबंधित	5	5
सारांश	Generalized blockmodeling, developed by Doreian, Batagelj, and Ferligoj, partitions the actors of a network into positions and simultaneously characterizes the ties between positions as one of several allowed block types — null, complete, regular, dominant, and others. Rather than the indirect, two-step approach of computing equivalences and then clustering, it directly searches for the partition that minimizes the inconsistency between the observed network and an idealized block structure, optionally one the analyst pre-specifies from theory.	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.