Choose clustering for social network users

## Scenario You need to cluster users to discover meaningful groups (e.g., communities, interest groups, or usage segments). You may have: - Traditional tabular features per user (usage frequency, demographics, embeddings, etc.), and/or - A **social network graph** (nodes = users, edges = friendships/follows/messages). ## Questions 1. What clustering algorithm(s) would you consider, and why? 2. What are the key differences between **traditional clustering** (feature-vector based) and **social network / graph clustering**? 3. How would you evaluate cluster quality and choose the number of clusters? 4. What practical issues arise at scale (millions of users), and how would you handle them?