Final answer:
The most suitable data structure for efficiently implementing Kruskal's algorithm is a binary heap, used for sorting edges, in conjunction with union-find for disjoint-set operations.
Step-by-step explanation:
To implement Kruskal's algorithm efficiently, the most suitable data structure is a binary heap. Kruskal's algorithm is used to find the minimum spanning tree of a graph. This algorithm works by first sorting the edges of the graph in non-decreasing order of their weight. A binary heap is an efficient way to manage the edge priorities during the sorting process. Once the edges are sorted, a disjoint-set data structure (often implemented with union-find) is used to keep track of the subsets of vertices that are already connected, which helps in avoiding cycles and ensuring that we are always working towards a minimum spanning tree.
While the other options provided like linked list, stack, and queue could be involved in various computer algorithms, they are not as efficient for Kruskal's algorithm as the binary heap for edge sorting, in conjunction with union-find for the disjoint-set operations.