Randomizing world trade. I. A binary network analysis

Abstract

The international trade network (ITN) has received renewed multidisciplinary interest due to recent advances in network theory. However, it is still unclear whether a network approach conveys additional, nontrivial information with respect to traditional international-economics analyses that describe world trade only in terms of local (first-order) properties. In this and in a companion paper, we employ a recently proposed randomization method to assess in detail the role that local properties have in shaping higher-order patterns of the ITN in all its possible representations (binary/weighted, directed/undirected, aggregated/disaggregated by commodity) and across several years. Here we show that, remarkably, the properties of all binary projections of the network can be completely traced back to the degree sequence, which is therefore maximally informative. Our results imply that explaining the observed degree sequence of the ITN, which has not received particular attention in economic theory, should instead become one the main focuses of models of trade.

See also the companion paper (part II): arXiv:1103.1249 [physics.soc-ph], published as Phys. Rev. E 84, 046118 (2011)

References in corpus (14)

• Clustering in Complex Directed Networks
• Prominence and control: The weighted rich-club effect
• On the Topological Properties of the World Trade Web: A Weighted Network Analysis
• Multinetwork of international trade: A commodity-specific analysis
• Analytical maximum-likelihood method to detect patterns in real networks
• Maximum likelihood: extracting unbiased information from complex networks
• The International Trade Network: weighted network analysis and modelling
• Patterns of dominant flows in the world trade web
• Interplay between topology and dynamics in the World Trade Web
• Randomizing world trade. II. A weighted network analysis
• Reciprocity of Networks with Degree Correlations and Arbitrary Degree Sequences
• Rich-club vs rich-multipolarization phenomena in weighted networks
• Evolution of community structure in the world trade web
• The World-Trade Web: Topological Properties, Dynamics, and Evolution

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