Literature DB >> 12935184

Topology of the world trade web.

Ma Angeles Serrano1, Marián Boguñá.   

Abstract

Economy, and consequently trade, is a fundamental part of human social organization which, until now, has not been studied within the network modeling framework. Here we present the first, to the best of our knowledge, empirical characterization of the world trade web, that is, the network built upon the trade relationships between different countries in the world. This network displays the typical properties of complex networks, namely, scale-free degree distribution, the small-world property, a high clustering coefficient, and, in addition, degree-degree correlation between different vertices. All these properties make the world trade web a complex network, which is far from being well described through a classical random network description.

Entities:  

Year:  2003        PMID: 12935184     DOI: 10.1103/PhysRevE.68.015101

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


  36 in total

1.  Asymmetric disassembly and robustness in declining networks.

Authors:  Serguei Saavedra; Felix Reed-Tsochas; Brian Uzzi
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-20       Impact factor: 11.205

2.  The rise and fall of countries in the global value chains.

Authors:  Luiz G A Alves; Giuseppe Mangioni; Francisco A Rodrigues; Pietro Panzarasa; Yamir Moreno
Journal:  Sci Rep       Date:  2022-05-31       Impact factor: 4.996

3.  A new metrics for countries' fitness and products' complexity.

Authors:  Andrea Tacchella; Matthieu Cristelli; Guido Caldarelli; Andrea Gabrielli; Luciano Pietronero
Journal:  Sci Rep       Date:  2012-10-10       Impact factor: 4.379

4.  Impact of the topology of global macroeconomic network on the spreading of economic crises.

Authors:  Kyu-Min Lee; Jae-Suk Yang; Gunn Kim; Jaesung Lee; Kwang-Il Goh; In-mook Kim
Journal:  PLoS One       Date:  2011-03-31       Impact factor: 3.240

5.  Finding and testing network communities by lumped Markov chains.

Authors:  Carlo Piccardi
Journal:  PLoS One       Date:  2011-11-03       Impact factor: 3.240

6.  Agricultural trade networks and patterns of economic development.

Authors:  Shade T Shutters; Rachata Muneepeerakul
Journal:  PLoS One       Date:  2012-07-02       Impact factor: 3.240

7.  Complexity of the international agro-food trade network and its impact on food safety.

Authors:  Mária Ercsey-Ravasz; Zoltán Toroczkai; Zoltán Lakner; József Baranyi
Journal:  PLoS One       Date:  2012-05-31       Impact factor: 3.240

8.  Using Network Reliability to Understand International Food Trade Dynamics.

Authors:  Madhurima Nath; Srinivasan Venkatramanan; Bryan Kaperick; Stephen Eubank; Madhav V Marathe; Achla Marathe; Abhijin Adiga
Journal:  Complex Netw Appl VII (2018)       Date:  2018-12-02

9.  Words analysis of online Chinese news headlines about trending events: a complex network perspective.

Authors:  Huajiao Li; Wei Fang; Haizhong An; Xuan Huang
Journal:  PLoS One       Date:  2015-03-25       Impact factor: 3.240

10.  Profiling core-periphery network structure by random walkers.

Authors:  Fabio Della Rossa; Fabio Dercole; Carlo Piccardi
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

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