Centrality Algorithms (PageRank)
Understand how centrality algorithms, such as PageRank, identify the most important or influential nodes in a network.
What is Centrality?
In a network, some nodes are more "important" than others. But how do we define importance?
Centrality algorithms help us measure a node's significance within a graph. They reveal which nodes are key players, connectors, or influencers.
Why Measure Importance?
Understanding node importance is crucial for many tasks:
- Finding influencers: Who are the most connected people in a social network?
- Identifying critical infrastructure: Which power stations are vital for the grid?
- Stopping disease spread: Which individuals are super-spreaders in an epidemic?
All lessons in this course
- Pathfinding Algorithms (BFS, DFS)
- Centrality Algorithms (PageRank)
- Community Detection Algorithms
- Similarity and Link Prediction Algorithms