# Patterns of dominant flows in the world trade web

## TL;DR

This paper analyzes the global trade network to identify dominant trade pathways, revealing the underlying structure of international economic interdependencies and providing tools for understanding crisis propagation.

## Contribution

It introduces a general filtering procedure to uncover dominant trade channels in weighted networks, applicable beyond trade to other transport flow systems.

## Key findings

- Identified high-flux pathways that form the backbone of global trade.
- Provided a ranking of trade partnerships highlighting interdependencies.
- Developed a new quantitative method for analyzing transport flow structures.

## Abstract

The large-scale organization of the world economies is exhibiting increasingly levels of local heterogeneity and global interdependency. Understanding the relation between local and global features calls for analytical tools able to uncover the global emerging organization of the international trade network. Here we analyze the world network of bilateral trade imbalances and characterize its overall flux organization, unraveling local and global high-flux pathways that define the backbone of the trade system. We develop a general procedure capable to progressively filter out in a consistent and quantitative way the dominant trade channels. This procedure is completely general and can be applied to any weighted network to detect the underlying structure of transport flows. The trade fluxes properties of the world trade web determines a ranking of trade partnerships that highlights global interdependencies, providing information not accessible by simple local analysis. The present work provides new quantitative tools for a dynamical approach to the propagation of economic crises.