방법 비교

	Core-Periphery Analysis	사회 연결망 분석
분야	Sociology	네트워크 분석
계열	Process / pipeline	Machine learning
기원 연도	2000	1934 (sociometry); 1994 (modern formalization)
창시자	Stephen Borgatti & Martin Everett	Moreno, J.L.; formalized by Wasserman & Faust
유형	Network partition into a dense core and a sparse periphery	Structural/relational analysis framework
원전	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
별칭	core/periphery model, Borgatti-Everett core-periphery, core-periphery structure detection, coreness analysis	SNA, network analysis, sociometric analysis, relational analysis
관련	5	5
요약	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.