Сравнение методов

	Core-Periphery Analysis	Социальный сетевой анализ
Область	Sociology	Сетевой анализ
Семейство	Process / pipeline	Machine learning
Год появления	2000	1934 (sociometry); 1994 (modern formalization)
Автор метода	Stephen Borgatti & Martin Everett	Moreno, J.L.; formalized by Wasserman & Faust
Тип	Network partition into a dense core and a sparse periphery	Structural/relational analysis framework
Основополагающий источник	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
Другие названия	core/periphery model, Borgatti-Everett core-periphery, core-periphery structure detection, coreness analysis	SNA, network analysis, sociometric analysis, relational analysis
Связанные	5	5
Сводка	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.