This document proposes a method to analyze communities on social networks using graph representation learning. It involves collecting data on brands and followers from Instagram, constructing graphs to model interactions, extracting embeddings using node2vec, classifying users, and clustering communities. Experiments on an Italian fashion brand found embeddings from reduced graphs performed well in classification. Clustering identified sub-communities validated by domain experts as related to professionals, holidays, and regular users. The method effectively analyzed social network communities through network modeling and representation learning.