This project explores the structural dynamics of large-scale Twitter graphs using advanced network analysis and machine learning. Starting with a dataset of 5.3 million unique nodes, undirected ...

In the previous three articles, I explained the mechanism of PCA from scratch. Because you have the experience of manual calculations with NumPy, you understand what the library is doing behind the ...

Although mathematical theory may seem difficult at first glance, unraveling it step-by-step in Python makes it clear what is being calculated. Please try using this code to perform manual PCA on other ...

Naive follow-based graphs are dense and noisy — a user may follow thousands of accounts without ever interacting with them. Ranking influencers by follower count alone misses structurally important ...