Step 1: Understand what BFS (Breadth-First Search) is. It explores all neighbors of a node before moving to the next level.
Step 2: Recognize that BFS uses a queue to keep track of nodes to explore next.
Step 3: Note that at each level of the graph, BFS stores all nodes in the queue.
Step 4: Realize that if the graph is wide (has many nodes at each level), the queue can become very large.
Step 5: Understand that this large queue means BFS requires more memory compared to DFS (Depth-First Search), which uses a stack and only stores nodes along the current path.
