Spanning trees of the World Trade Web: real-world data and the gravity model of trade

TL;DR

This paper analyzes the structure of the international trade network by extracting its backbone using maximum weight spanning trees, comparing real data with the gravity model to validate its accuracy in representing key trade connections.

Contribution

It introduces a method to identify the core trade connections in the world trade network and validates the gravity model's effectiveness in reproducing this backbone.

Findings

The backbone highlights major economic players and their trade links.

The gravity model accurately reproduces the network's core structure.

Large economies dominate the trade backbone.

Abstract

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.