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Core-Periphery Analysis×Generalized Blockmodeling×
ক্ষেত্রSociologySociology
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছর20002005
প্রবর্তকStephen Borgatti & Martin EverettPatrick Doreian, Vladimir Batagelj & Anuška Ferligoj
ধরনNetwork partition into a dense core and a sparse peripheryDirect optimization partition of a network into positions with typed blocks
মৌলিক উৎসBorgatti, S. P., & Everett, M. G. (2000). Models of core/periphery structures. Social Networks, 21(4), 375–395. DOI ↗Doreian, P., Batagelj, V., & Ferligoj, A. (2005). Generalized Blockmodeling. Cambridge University Press. ISBN: 978-0-521-84085-9
অপর নামcore/periphery model, Borgatti-Everett core-periphery, core-periphery structure detection, coreness analysisgeneralized blockmodel, direct blockmodeling, pre-specified blockmodeling, Doreian-Batagelj-Ferligoj blockmodeling
সম্পর্কিত55
সারসংক্ষেপCore/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.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.
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ScholarGateপদ্ধতির তুলনা করুন: Core-Periphery Analysis · Generalized Blockmodeling. 2026-06-24 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare