000076975 001__ 76975
000076975 005__ 20200117221625.0
000076975 0247_ $$2doi$$a10.3390/e20120909
000076975 0248_ $$2sideral$$a109866
000076975 037__ $$aART-2018-109866
000076975 041__ $$aeng
000076975 100__ $$aAlves, L.G.A.
000076975 245__ $$aUnfolding the complexity of the global value chain: Strength and entropy in the single-layer, multiplex, and multi-layer international trade networks
000076975 260__ $$c2018
000076975 5060_ $$aAccess copy available to the general public$$fUnrestricted
000076975 5203_ $$aThe worldwide trade network has been widely studied through different data sets and network representations with a view to better understanding interactions among countries and products. Here we investigate international trade through the lenses of the single-layer, multiplex, and multi-layer networks. We discuss differences among the three network frameworks in terms of their relative advantages in capturing salient topological features of trade. We draw on the World Input-Output Database to build the three networks. We then uncover sources of heterogeneity in the way strength is allocated among countries and transactions by computing the strength distribution and entropy in each network. Additionally, we trace how entropy evolved, and show how the observed peaks can be associated with the onset of the global economic downturn. Findings suggest how more complex representations of trade, such as the multi-layer network, enable us to disambiguate the distinct roles of intra- and cross-industry transactions in driving the evolution of entropy at a more aggregate level. We discuss our results and the implications of our comparative analysis of networks for research on international trade and other empirical domains across the natural and social sciences.
000076975 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/FIS2017-87519-P$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 640772-DOLFINS$$9info:eu-repo/grantAgreement/EC/H2020/640772/EU/Distributed Global Financial Systems for Society/DOLFINS$$9info:eu-repo/grantAgreement/ES/DGA/E36-17R
000076975 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000076975 590__ $$a2.419$$b2018
000076975 591__ $$aPHYSICS, MULTIDISCIPLINARY$$b28 / 81 = 0.346$$c2018$$dQ2$$eT2
000076975 592__ $$a0.524$$b2018
000076975 593__ $$aPhysics and Astronomy (miscellaneous)$$c2018$$dQ2
000076975 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000076975 700__ $$aMangioni, G.
000076975 700__ $$aRodrigues, F.A.
000076975 700__ $$aPanzarasa, P.
000076975 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Y.$$uUniversidad de Zaragoza
000076975 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000076975 773__ $$g20, 12 (2018), 909 [14 pp]$$pEntropy$$tENTROPY$$x1099-4300
000076975 8564_ $$s2482012$$uhttps://zaguan.unizar.es/record/76975/files/texto_completo.pdf$$yVersión publicada
000076975 8564_ $$s100838$$uhttps://zaguan.unizar.es/record/76975/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000076975 909CO $$ooai:zaguan.unizar.es:76975$$particulos$$pdriver
000076975 951__ $$a2020-01-17-21:56:38
000076975 980__ $$aARTICLE