International Trade Network Analysis in R. This package can clean and transform international trade data from WITS (http://wits.worldbank.org/) into a international trade network and undertake descriptive analysis
Graph Attention Recurrent Neural Network for Bilateral Trade Prediction and Adjacency Matrix Sampling
This presents my portfolio of services and skills.
The goal of the project was analyzing world trade as multilayer networks and detect major economic events (such as shocks) with various techniques
Estimates of illicit financial flows due to trade misinvoicing
Analysis of the global trade network for 2018, 2020, and 2022 using network theory, Exponential Random Graph Models (ERGM), and Stochastic Block Models. Non-structural, persistent, and statistically significant nodal determinants of international trade are identified, as well as a marked differentiation between countries.
Add a description, image, and links to the international-trade-network topic page so that developers can more easily learn about it.
To associate your repository with the international-trade-network topic, visit your repo's landing page and select "manage topics."