Spanning Trees of the World Trade Web: Real-World Data and the Gravity Model of Trade

• Authors: P. Skowron , M. Karpiarz , A. Fronczak , P. Fronczak
• Languages of publication: EN

Abstracts

EN

In this paper, we investigate the statistical features of the weighted international-trade network. By finding the maximum weight spanning trees for this network we make the extraction of the truly relevant connections forming the network's backbone. We discuss the role of large-sized countries (strongest economies) in the tree. Finally, we compare the topological properties of this backbone to the maximum weight spanning trees obtained from the gravity model of trade. We show that the model correctly reproduces the backbone of the real-world economy.

Keywords

EN

89.75.-k; 89.65.Gh; 89.65.-s

Discipline

• 89.65.-s: Social and economic systems
• 89.75.-k: Complex systems(for complex chemical systems, see 82.40.Qt; for biological complexity, see 87.18.-h)
• 89.65.Gh: Economics; econophysics, financial markets, business and management(for economic issues regarding production and use of renewable energy, see 88.05.Lg)

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2015
• Volume: 127
• Issue: 3A
• Pages: A-123-A-128

Dates

published

2015-03

Contributors

author

P. Skowron

• Faculty of Physics, Warsaw University of Technology, Koszykowa 75, PL-00662 Warsaw, Poland

author

M. Karpiarz

• Faculty of Physics, Warsaw University of Technology, Koszykowa 75, PL-00662 Warsaw, Poland

author

A. Fronczak

• Faculty of Physics, Warsaw University of Technology, Koszykowa 75, PL-00662 Warsaw, Poland

author

P. Fronczak

• Faculty of Physics, Warsaw University of Technology, Koszykowa 75, PL-00662 Warsaw, Poland

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Identifiers

DOI

10.12693/APhysPolA.127.A-123