Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6855114 | Expert Systems with Applications | 2018 | 13 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Massimo Buscema, Guido Ferilli, Pier Luigi Sacco,