Which traversal algorithm explores all neighbor nodes at the present depth before moving to the next depth level?

Which traversal algorithm explores all neighbor nodes at the present depth before moving to the next depth level?

• A. Depth-first search (DFS)
• B. Bubble sort
• C. Breadth-first search (BFS)
• D. Dijkstra's algorithm

Answer: (C)

The traversal algorithm that explores all neighbor nodes at the present depth level before moving on to the next level is known as Breadth-First Search (BFS). This method systematically visits nodes layer by layer, starting from a specified root node and exploring all its directly connected neighbors before moving on to the nodes one level deeper. In practice, BFS utilizes a queue data structure to keep track of the nodes that need to be explored. When a node is visited, all its unvisited adjacent nodes are enqueued, ensuring that all nodes at the current depth are processed before the algorithm proceeds to the next level. This characteristic makes BFS particularly useful in scenarios where the shortest path is sought in an unweighted graph, as it guarantees that the first time a node is reached, it is done so using the minimum number of edges. Comparatively, Depth-First Search (DFS), which is a different approach, dives as deep as possible down one path before backtracking, hence it does not explore all neighbors at the present depth before moving deeper. Bubble sort, meanwhile, is not a traversal algorithm but rather a sorting algorithm, so it does not pertain to graph traversal techniques. Dijkstra's algorithm, although related to graph traversal, is primarily focused on finding the

The traversal algorithm that explores all neighbor nodes at the present depth level before moving on to the next level is known as Breadth-First Search (BFS). This method systematically visits nodes layer by layer, starting from a specified root node and exploring all its directly connected neighbors before moving on to the nodes one level deeper.

In practice, BFS utilizes a queue data structure to keep track of the nodes that need to be explored. When a node is visited, all its unvisited adjacent nodes are enqueued, ensuring that all nodes at the current depth are processed before the algorithm proceeds to the next level. This characteristic makes BFS particularly useful in scenarios where the shortest path is sought in an unweighted graph, as it guarantees that the first time a node is reached, it is done so using the minimum number of edges.

Comparatively, Depth-First Search (DFS), which is a different approach, dives as deep as possible down one path before backtracking, hence it does not explore all neighbors at the present depth before moving deeper. Bubble sort, meanwhile, is not a traversal algorithm but rather a sorting algorithm, so it does not pertain to graph traversal techniques. Dijkstra's algorithm, although related to graph traversal, is primarily focused on finding the