What is BFS in graph theory?
BFS, or Breadth-First Search, is an algorithm for traversing or searching tree or graph data structures. It explores all neighbors at the present depth prior to moving on to nodes at the next depth level.
How does BFS differ from DFS?
BFS explores nodes level by level, while DFS (Depth-First Search) goes as deep as possible down one branch before backtracking. This leads to different traversal orders.
Can you give me an example of BFS in action?
Sure! Imagine a graph with nodes A, B, C, and D. Starting from A, BFS would visit A, then B and C, and finally D, exploring all neighbors of a node before moving deeper.
What are the applications of BFS?
BFS is used in various applications like finding the shortest path in unweighted graphs, web crawling, and social networking.
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