What is the best data structure to represent a graph?
The best data structure for representing a graph depends on the specific use case. Common options include adjacency lists and adjacency matrices.
Can you explain the difference between adjacency lists and adjacency matrices?
Sure! An adjacency list uses a list of lists to represent edges, which is space-efficient for sparse graphs. An adjacency matrix uses a 2D array, which is better for dense graphs but consumes more space.
When should I use an adjacency list over a matrix?
Use an adjacency list when the graph is sparse, meaning it has fewer edges compared to the number of vertices. It's more memory-efficient in that case.
What are some real-world applications of graph data structures?
Graph data structures are used in social networks, transportation systems, recommendation engines, and more to model relationships and connections.
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