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Generalized Blockmodeling×Core-Periphery Analysis×
BidangSociologySociology
KeluargaProcess / pipelineProcess / pipeline
Tahun asal20052000
PengasasPatrick Doreian, Vladimir Batagelj & Anuška FerligojStephen Borgatti & Martin Everett
JenisDirect optimization partition of a network into positions with typed blocksNetwork partition into a dense core and a sparse periphery
Sumber perintisDoreian, P., Batagelj, V., & Ferligoj, A. (2005). Generalized Blockmodeling. Cambridge University Press. ISBN: 978-0-521-84085-9Borgatti, S. P., & Everett, M. G. (2000). Models of core/periphery structures. Social Networks, 21(4), 375–395. DOI ↗
Aliasgeneralized blockmodel, direct blockmodeling, pre-specified blockmodeling, Doreian-Batagelj-Ferligoj blockmodelingcore/periphery model, Borgatti-Everett core-periphery, core-periphery structure detection, coreness analysis
Berkaitan55
RingkasanGeneralized 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.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.
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ScholarGateBandingkan kaedah: Generalized Blockmodeling · Core-Periphery Analysis. Dicapai 2026-06-24 daripada https://scholargate.app/ms/compare