78827 20200716101419.0 doi 10.1038/s41598-019-39340-w sideral 111153 ART-2019-111153 eng Alves, L.G.A. The nested structural organization of the worldwide trade multi-layer network 2019 Access copy available to the general public Unrestricted Nestedness has traditionally been used to detect assembly patterns in meta-communities and networks of interacting species. Attempts have also been made to uncover nested structures in international trade, typically represented as bipartite networks in which connections can be established between countries (exporters or importers) and industries. A bipartite representation of trade, however, inevitably neglects transactions between industries. To fully capture the organization of the global value chain, we draw on the World Input-Output Database and construct a multi-layer network in which the nodes are the countries, the layers are the industries, and links can be established from sellers to buyers within and across industries. We define the buyers’ and sellers’ participation matrices in which the rows are the countries and the columns are all possible pairs of industries, and then compute nestedness based on buyers’ and sellers’ involvement in transactions between and within industries. Drawing on appropriate null models that preserve the countries’ or layers’ degree distributions in the original multi-layer network, we uncover variations of country- and transaction-based nestedness over time, and identify the countries and industries that most contributed to nestedness. We discuss the implications of our findings for the study of the international production network and other real-world systems. info:eu-repo/grantAgreement/ES/MINECO-FEDER/FIS2014-55867-P This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 640772-DOLFINS info:eu-repo/grantAgreement/EC/H2020/640772/EU/Distributed Global Financial Systems for Society/DOLFINS info:eu-repo/grantAgreement/ES/DGA/E36-17R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.998 2019 1.341 2019 MULTIDISCIPLINARY SCIENCES 17 / 71 = 0.239 2019 Q1 T1 Multidisciplinary 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Mangioni, G. Cingolani, I. Rodrigues, F.A. Panzarasa, P. (orcid)0000-0002-0895-1893 Moreno, Y. Universidad de Zaragoza 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 9, 1 (2019), 2866 [14 pp] Sci. rep. Scientific Reports 2045-2322 2497248 http://zaguan.unizar.es/record/78827/files/texto_completo.pdf Versión publicada 116312 http://zaguan.unizar.es/record/78827/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:78827 articulos driver 2020-07-16-08:39:40 ARTICLE