Exploring Network Graphs with Twitter Data

Posted: Sept 2024

In this project, I analyzed 150k+ tweets mentioning Nike, Adidas, and Lululemon. Using Python’s NetworkX library, I constructed a directed mentions graph to understand how communities formed around each brand. I also built a semantic network of co-occurring words to visualize brand perception.

Key insights included the dominance of Nike in mentions volume, Adidas forming a strong niche community, and Lululemon’s audience clustering tightly around lifestyle and wellness themes.

Tools used: Python, NetworkX, Altair.