This repository contains working R code developed during my doctoral research on international networks, global embeddedness and demographic change.
I constructed country-level networks using international trade, diplomatic and development-aid data. These networks were used to examine Sino-African dependency, changes in countries’ positions within the global system, and the relationship between global embeddedness and total fertility-rate change.
- Chapter 1: Cleaning, harmonisation and transformation of trade, diplomatic and aid data used to construct the country-level networks.
- Chapter 2: Regression analyses examining Sino-African dependency and African countries’ relationships with China within the global system.
- Chapter 3: Calculation of network centrality measures and panel regression analyses examining how total fertility-rate change is associated with countries’ global embeddedness over time.
- Graphs: Selected visual outputs from the dissertation, together with the R code used to generate them.
The research also used cluster analysis to examine how groups of countries and patterns of centrality changed over time.
- R
- Data cleaning and harmonisation
- Network construction and analysis
- Centrality measures
- Cluster analysis
- Panel regression
- Data visualisation
This repository contains working research code produced iteratively over the course of a long-term academic project. It is preserved as an archive of the analytical workflow rather than as a cleaned, documented or fully reproducible software package.
The original folder structure has largely been retained. Some scripts depend on local file paths, intermediate objects or earlier stages of the workflow and may not run independently as written.
The complete underlying datasets are not included because of file-size, access and redistribution restrictions. Selected visual outputs are available in the graphs folder.