Structure and evolution of the world trade network

By Diego Garlaschelli, M. I. Loffredo. 2005

432 citations recorded by the source corpus.

The World Trade Web (WTW), the network defined by the international import/export trade relationships, has been recently shown to display some important topological properties which are tightly related to the Gross Domestic Product of world countries. While our previous analysis focused on the static, undirected version of the WTW, here we address its full evolving, directed description. This is accomplished by exploiting the peculiar reciprocity structure of the WTW to recover the directed nature of international trade channels, and by studying the temporal dependence of the parameters describing the WTW topology.

Subfields: Computational Theory and Mathematics, Economics and Econometrics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/0459a2a7789c971136ebd38869149b2154b1f4a6

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Citations in the corpus

The evolution of the world trade web: a weighted-network analysis (2010, background): “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): “7 Other studies analysing theworld trade network are Garlaschelli and Loffredo (2005), Kali and Reyes (2007), Fagiolo et al. (2009) and Serrano et al. (2007). 8 Notice that the exported volume from country a to b is equal to the imported volume”
Water for food: The global virtual water trade network (2011, methodology): “We assign weights to links in the international food trade on the basis of the volumes of water embodied in a given trade relationship, while other studies of the world trade web in the literature assign weights in terms of financial values [Garlaschelli and Loffredo, 2005; Fagiolo et al., 2008; Kyr”
Small and flat worlds: A complex network analysis of international trade in crude oil (2015, background): “In general, empirical studies of the spatial dynamics of trade have shown that the international trading system has becomemore interconnected over the past three decades [6,7].”
The statistical physics of real-world networks (2018, background): “The observed disassortative pattern, for which countries with many trade partners are connected on average to countries with few partners [53, 54], turns out to be statistically explained with good approximation by the degree sequence [38].”
The Emergence of Global Systemic Risk (2015, background): “…(a pattern in which nodes link to nodes unlike themselves), hierarchy, and a local tendency for preferential attachment among well-connected states (Garlaschelli & Loffredo 2005, Serrano & Boguñá 2003), echoing some of the key structural findings about the topography of the world trade web from…”
The World Trade Network (2011, neutral): “In any case, if we compare the density of the WTO network with the one of the World Trade Network in Table 4, this is significantly higher in every year.(21) Of course, the direction of causality cannot immediately be”
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).”
Networks of Value Added Trade (2017, neutral): “…structural and topological properties of the WTW in its undirected/directed and binary/ weighted forms are studied by Serrano and Bogu~n a (2003), Garlaschelli and Loffredo (2004a, 2005), Bhattacharya et al. (2007), Kali and Reyes (2007), Serrano et al. (2007), Fagiolo et al. (2010), among…”