You can implement BFS for a graph in TypeScript using a queue to explore nodes level by level, starting from a given source node.

Breadth-first search (BFS) is an essential algorithm for exploring graphs and is widely used in scenarios like finding the shortest path in unweighted graphs. BFS works by visiting all nodes at the current level before moving to the next level. In TypeScript, you can implement BFS using a queue data structure. The algorithm starts at a given node (source) and visits all of its neighbors, adding them to the queue. Once the neighbors are explored, the algorithm dequeues the next node and repeats the process for its neighbors. BFS is particularly useful for tasks such as finding the shortest path in unweighted graphs, detecting connected components, and solving puzzles like mazes. Mastering BFS in TypeScript prepares you for solving many graph-related problems and understanding key principles of graph traversal.