Literature DB >> 20481783

Multinetwork of international trade: a commodity-specific analysis.

Matteo Barigozzi1, Giorgio Fagiolo, Diego Garlaschelli.   

Abstract

We study the topological properties of the multinetwork of commodity-specific trade relations among world countries over the 1992-2003 period, comparing them with those of the aggregate-trade network, known in the literature as the international-trade network (ITN). We show that link-weight distributions of commodity-specific networks are extremely heterogeneous and (quasi) log normality of aggregate link-weight distribution is generated as a sheer outcome of aggregation. Commodity-specific networks also display average connectivity, clustering, and centrality levels very different from their aggregate counterpart. We also find that ITN complete connectivity is mainly achieved through the presence of many weak links that keep commodity-specific networks together and that the correlation structure existing between topological statistics within each single network is fairly robust and mimics that of the aggregate network. Finally, we employ cross-commodity correlations between link weights to build hierarchies of commodities. Our results suggest that on the top of a relatively time-invariant "intrinsic" taxonomy (based on inherent between-commodity similarities), the roles played by different commodities in the ITN have become more and more dissimilar, possibly as the result of an increased trade specialization. Our approach is general and can be used to characterize any multinetwork emerging as a nontrivial aggregation of several interdependent layers.

Year:  2010        PMID: 20481783     DOI: 10.1103/PhysRevE.81.046104

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  17 in total

1.  Breakdown of interdependent directed networks.

Authors:  Xueming Liu; H Eugene Stanley; Jianxi Gao
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-19       Impact factor: 11.205

Review 2.  The structure and dynamics of multilayer networks.

Authors:  S Boccaletti; G Bianconi; R Criado; C I Del Genio; J Gómez-Gardeñes; M Romance; I Sendiña-Nadal; Z Wang; M Zanin
Journal:  Phys Rep       Date:  2014-07-10       Impact factor: 25.600

3.  Interactions between Financial and Environmental Networks in OECD Countries.

Authors:  Franco Ruzzenenti; Andreas Joseph; Elisa Ticci; Pietro Vozzella; Giampaolo Gabbi
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

4.  A Network of Networks Perspective on Global Trade.

Authors:  Julian Maluck; Reik V Donner
Journal:  PLoS One       Date:  2015-07-21       Impact factor: 3.240

5.  Randomizing bipartite networks: the case of the World Trade Web.

Authors:  Fabio Saracco; Riccardo Di Clemente; Andrea Gabrielli; Tiziano Squartini
Journal:  Sci Rep       Date:  2015-06-01       Impact factor: 4.379

6.  Hierarchicality of trade flow networks reveals complexity of products.

Authors:  Peiteng Shi; Jiang Zhang; Bo Yang; Jingfei Luo
Journal:  PLoS One       Date:  2014-06-06       Impact factor: 3.240

7.  Multiplexity versus correlation: the role of local constraints in real multiplexes.

Authors:  V Gemmetto; D Garlaschelli
Journal:  Sci Rep       Date:  2015-03-13       Impact factor: 4.379

8.  Strength of weak layers in cascading failures on multiplex networks: case of the international trade network.

Authors:  Kyu-Min Lee; K-I Goh
Journal:  Sci Rep       Date:  2016-05-23       Impact factor: 4.379

9.  Dynamics of the Global Wheat Trade Network and Resilience to Shocks.

Authors:  Kathyrn R Fair; Chris T Bauch; Madhur Anand
Journal:  Sci Rep       Date:  2017-08-03       Impact factor: 4.379

10.  Hubs and authorities in the world trade network using a weighted HITS algorithm.

Authors:  Tsuyoshi Deguchi; Katsuhide Takahashi; Hideki Takayasu; Misako Takayasu
Journal:  PLoS One       Date:  2014-07-22       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.