Graph basics and Centrality Analysis

1. 1Build a simple graph using a library like NetworkX to understand basic concepts
2. 2Run centrality measures like degree centrality and betweenness centrality on a sample graph
3. 3Configure a graph to represent a real-world network like LinkedIn connections
4. 4Apply centrality analysis to identify influential nodes in the graph
5. 5Compare different centrality measures to determine which one is most suitable for a recommendation system

Data scientists and machine learning engineers can benefit from understanding graph basics and centrality analysis to build recommendation systems

💡 Centrality analysis can help identify influential nodes in a graph, which can be used to build recommendation systems

📈 Learn graph basics and centrality analysis to build recommendation systems like LinkedIn's people you may know feature