This repository contains code used to pull and analyze Twitter network data and node attributes. The project focused on created a GCN to predict verification across three representative networks and an artifically constructed network. Huge props to Steve Hedden for provided much of the baseline code for network scraping
- Scraping/Tweepy Network Scraping - Anyone.ipynb: JuPyter Notebook that contains replicatable code to pull network and node information from a source node. The bulk of the scraping for this project lives here.
- Datasets Folder: Contains the complete replications of the graphs used in this project in a .gml format to import into NetworkX and includes both network connections and node information
- Prediction Verfiication GCN.ipynb: Contains the GCN code used to train and test our models against the Twitter data we collected
- Twitter Influence and Verification.pdf: Final paper with full methodology and results for the explortation of Twitter verification