|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|152831||2018||13 صفحه PDF||سفارش دهید||12348 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Expert Systems with Applications, Volume 99, 1 June 2018, Pages 12-24
This paper presents an innovative operationalization of world-system analysis through attributional data, and makes use of an innovative Artificial Neural Network computational tool, the Auto-Contractive Map (AutoCM), to analyze the core-periphery structure of a database including five well-known, publicly available indicators that can jointly be considered an empirical proxy of an open society formulation of Western governmentality: World Competitiveness Index; Freedom of Press Index; Economic Freedom Index; Corruption Perception Index; and UNDP Human Development Index. We find clear evidence of a core-periphery structure in the data, which is largely coherent with a benchmark version obtained through an alternative computational method, the Self-Organizing Map (SOM). Moreover, we find that the resulting meta-geography of the world-system is still shaped by the colonialist geopolitics of the British Commonwealth as the key organizational backbone.