Yöntem Karşılaştırma

	Dependency Analysis	Core-Periphery Analysis
Alan	Political Economy	Sociology
Aile	Process / pipeline	Process / pipeline
Köken yılı	1966	2000
Köken	Andre Gunder Frank; Fernando Henrique Cardoso & Enzo Faletto	Stephen Borgatti & Martin Everett
Tür	Historical-structural development framework	Network partition into a dense core and a sparse periphery
Seminal kaynak	Cardoso, F. H., & Faletto, E. (1979). Dependency and Development in Latin America. University of California Press. ISBN: 9780520031937	Borgatti, S. P., & Everett, M. G. (2000). Models of core/periphery structures. Social Networks, 21(4), 375–395.
Diğer adlar	Dependency Theory, Dependencia Analysis, Center-Periphery Analysis, Underdevelopment Theory	core/periphery model, Borgatti-Everett core-periphery, core-periphery structure detection, coreness analysis
İlişkili	4	5
Özet	Dependency analysis is a historical-structural framework for explaining the persistent underdevelopment of poorer countries, developed by Latin American and dependency scholars in the 1960s and 1970s. Its founding claim, sharpened by Andre Gunder Frank in 'The Development of Underdevelopment' (1966), is that the poverty of the periphery is not a backward original condition awaiting modernization but is actively produced by the region's subordinate relation to the wealthy center: through colonial and post-colonial trade, the periphery's surplus is siphoned to the metropole via unequal exchange. Fernando Henrique Cardoso and Enzo Faletto, in Dependency and Development in Latin America (1979), gave the tradition its most influential statement by insisting that dependency operates through the internal class structures and political alliances of peripheral societies, producing not stagnation alone but particular, distorted forms of 'associated-dependent' development.	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.