What is the difference between weighted and unweighted graphs?
An example of an AI chatbot conversation about the differences in graph types.
What is the difference between weighted and unweighted graphs?
Weighted graphs have edges with values (weights) representing costs or distances, while unweighted graphs do not.
Can you give me an example of each?
Sure! In a weighted graph, edges might represent distances between cities, like 5 km or 10 km. In an unweighted graph, edges simply connect nodes without any specific value.
Why would I use a weighted graph instead of an unweighted one?
Weighted graphs are useful for scenarios where the cost or distance matters, like in routing algorithms, while unweighted graphs are simpler and faster for basic connectivity.
Are there algorithms that specifically use weighted graphs?
Yes, algorithms like Dijkstra's and Prim's are designed to work with weighted graphs to find the shortest path or minimum spanning tree.
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