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	Core-Periphery Analysis	सामाजिक नेटवर्क विश्लेषण
क्षेत्र	Sociology	नेटवर्क विश्लेषण
परिवार	Process / pipeline	Machine learning
उद्भव वर्ष	2000	1934 (sociometry); 1994 (modern formalization)
प्रवर्तक	Stephen Borgatti & Martin Everett	Moreno, J.L.; formalized by Wasserman & Faust
प्रकार	Network partition into a dense core and a sparse periphery	Structural/relational analysis framework
मौलिक स्रोत	Borgatti, S. P., & Everett, M. G. (2000). Models of core/periphery structures. Social Networks, 21(4), 375–395.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
उपनाम	core/periphery model, Borgatti-Everett core-periphery, core-periphery structure detection, coreness analysis	SNA, network analysis, sociometric analysis, relational analysis
संबंधित	5	5
सारांश	Core/periphery analysis partitions a network into a densely interconnected core of actors and a sparse periphery whose members connect to the core but not to one another. Formalized by Borgatti and Everett, the method fits the observed adjacency matrix to an idealized block pattern — a fully connected core block, an empty periphery block, and core–periphery blocks of intermediate density — to test whether and how strongly a network exhibits this canonical mesoscale structure.	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.