Extracting communities from Social Graph Network

Data Science

Clustering using Social Graph Network

A Social Graph Network can be formed when there are a set of connections between entities (nodes — such as people or organizations) and interactions (edges — such as friendship, contracts) between them. In today’s world, there are many social networks that exist — a famous one being Facebook’s friend’s network. However, as long as we can establish connections between various entities, we can represent many things around us as a social network …

communities data science graph machine learning network social social-network