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World-Systems Analysis×Core-Periphery Analysis×
분야Political EconomySociology
계열Process / pipelineProcess / pipeline
기원 연도19742000
창시자Immanuel WallersteinStephen Borgatti & Martin Everett
유형Historical-structural macrosociological frameworkNetwork partition into a dense core and a sparse periphery
원전Wallerstein, I. (1974). The Modern World-System I: Capitalist Agriculture and the Origins of the European World-Economy in the Sixteenth Century. Academic Press. ISBN: 9780127859200Borgatti, S. P., & Everett, M. G. (2000). Models of core/periphery structures. Social Networks, 21(4), 375–395. DOI ↗
별칭World-System Theory, World-Systems Theory, Wallersteinian Analysis, Capitalist World-Economy Analysiscore/periphery model, Borgatti-Everett core-periphery, core-periphery structure detection, coreness analysis
관련45
요약World-systems analysis is a historical-structural framework, founded by Immanuel Wallerstein in The Modern World-System (1974) and codified in his 2004 introduction, that takes as its unit of analysis not the nation-state but a single, integrated capitalist world-economy that has expanded since the long sixteenth century to encompass the globe. Within this world-economy a single axial division of labor binds together a hierarchy of zones — core, semiperiphery, and periphery — through which surplus flows unequally from peripheral to core regions. States, classes, and firms are understood by their position in this structure rather than as self-contained societies, and the system is read over the longue duree, attentive to long cycles of accumulation and to the rise and decline of successive hegemonic powers.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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