Topology of the world trade web.

By M. Ángeles Serrano, Marián Boguñá. Physical review. E, Statistical, nonlinear, and soft matter physics, 2003

618 citations recorded by the source corpus.

Economy, and consequently trade, is a fundamental part of human social organization which, until now, has not been studied within the network modeling framework. Here we present the first, to the best of our knowledge, empirical characterization of the world trade web, that is, the network built upon the trade relationships between different countries in the world. This network displays the typical properties of complex networks, namely, scale-free degree distribution, the small-world property, a high clustering coefficient, and, in addition, degree-degree correlation between different vertices. All these properties make the world trade web a complex network, which is far from being well described through a classical random network description.

Subfields: Information Systems, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/e3033edee9cac14d05969b475ebb0341678cee9e

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Citations in the corpus

Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, background): “Trying to unveil this fascinating economical complex system of trades between co u tries, Serrano and Boguñá studied the so-called world trade web [137].”
The World Trade Network (2011, neutral): “We then calculated the weighted adjacency matrix of the differences in trade volumes between 1980 and 1990 and deconstructed these flows in three components: the extensive margin, due to the expansion of trade among new trade partners (having wij = 0 in N1980); the positive component of the intensiv”
Networks of Value Added Trade (2017, neutral): “Starting from the work of Serrano and Boguñá (2003), most empirical studies on international trade networks have found that they are characterised by a disassortative mixing, as highly connected countries tend to connect to poorly connected ones.”
The evolution of the world trade web: a weighted-network analysis (2010, methodology): “Indeed, as found also by Serrano and Bogu˜n´a (2003) and Garlaschelli and Loﬀredo (2005), countries that hold more trade partners (high degree) are less clustered than those holding few partners.”
The world trade network and the environment (2015, background): “Serrano and Boguñá (2003) show that the world trade network satis ﬁ es the properties of a complex (and not random) network.”
Synchronization in complex networks (2008, background): “There are several studies that have focused on the static complex nature of the links between countries (Serrano and Boguñá, 2003) and also the evolution of the statistical properties of the network (Garlaschelli and Loffredo, 2005).”
Rising powers, global capitalism and liberal global governance: A historical materialist account of the BRICs challenge (2014, background): “…erosion of spatial transmission costs has caused nominally ‘national’ economies to be embedded in an independent articulated global trading network (Reyes et al., 2008: 13), which itself ‘has become a self-organized complex system that must be considered as a whole’ (Serrano and Boguñá, 2003: 4).”
International trade and financial integration: a weighted network analysis (2010, methodology): “While a large literature exists describing trade relationships in terms of a network (see for instance Li et al. 2003, Serrano and Boguñá 2003, Garlaschelli and Loffredo 2004, Bhattacharya et al. 2008, to quote just a few recent examples), this is the first time bilateral *Corresponding author.”
Evolution of the exergy flow network embodied in the global fossil energy trade: Based on complex network (2016, background): “Serrano and Boguna [16] used the complex network analysis approach to study international trade networks.”
The statistical physics of real-world networks (2018, background): “In the context of patterns validation, one of the most studied systems—that we also discuss here as an illustrative example—has been the World Trade Web (WTW), namely the network of trade relationships between countries in the world [51, 52].”