The evolution of the world trade web: a weighted-network analysis

By Giorgio Fagiolo, Javier A. Reyes, Stefano Schiavo. 2010

420 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/a7250976e81c8f8536f673f3a26d761660203ddc

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In Management Science and Operations Research

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Citations in the corpus

Identification of Global Oil Trade Patterns: An Empirical Research Based on Complex Network Theory (2014, positive): “[7] and [8] employed aweighted network analysis to study the empirical properties of the world trade web.”
The Emergence of Global Systemic Risk (2015, methodology): “More recent articles have refined this analysis by incorporating the volume of trade into weighted (as opposed to binary or unweighted) network analyses (Fagiolo et al. 2008, 2010).”
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 others.”
The World Trade Network (2011, neutral): “For an analysis of the weighted trade network see Bhattacharya et al. (2008) and Fagiolo et al. (2007a, 2007b). in section 2.4.”
Global technological collaboration network: network analysis of international co-inventions (2012, result): “The above findings contrast the results of network analysis of, for example, international R&D centres and international trade (De Benedictis and Tajoli 2011; De Prato and Nepelski 2011; Fagiolo et al. 2007).”
A Network Analysis of Global Banking:1978-2009 (2011, positive): “These features stand in contrast with the ITN, for which network metrics have remarkably stable empirical moments over the past decades (Fagiolo et al., 2010).”
Small and flat worlds: A complex network analysis of international trade in crude oil (2015, background): “A scale-free network perspective draws attention to the interconnections between countries [4,5].”