BFS Algorithm
BFS (Breadth-First Search) is a graph traversal algorithm that explores all vertices at the present depth level before moving on to vertices at the next depth level. It uses a queue data structure to keep track of vertices to visit and is commonly applied to unweighted graphs to find the shortest path between nodes. BFS is fundamental in computer science for problems like network routing, puzzle solving, and social network analysis.
Developers should learn BFS when working with graph-based data structures, such as in social networks, web crawling, or pathfinding in games, as it guarantees the shortest path in unweighted graphs. It's essential for algorithms in competitive programming, data analysis, and system design interviews, where efficient traversal and connectivity checks are required.