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Weighted graphs are the graph data structures in which the edges are given some weight or value based on the type of graph we are representing. Unweighted graphs are the graph data structure which are not associated with any weight or value.
- What is weighted graph data structure?
- What is unweighted graph in graph theory?
- What is the difference between an unweighted and a weighted edge?
- What is an advantage to using an unweighted graph?
What is weighted graph data structure?
A weighted graph is a graph in which each branch is given a numerical weight. A weighted graph is therefore a special type of labeled graph in which the labels are numbers (which are usually taken to be positive).
What is unweighted graph in graph theory?
We can define an unweighted graph as a graph in which an edge does not have any cost or weight being associated with it whereas talking about the weighted graph, we can define it as a graph in which an edge has cost and weight associated with it.
What is the difference between an unweighted and a weighted edge?
If edges in your graph have weights then your graph is said to be a weighted graph, if the edges do not have weights, the graph is said to be unweighted. A weight is a numerical value attached to each individual edge.
What is an advantage to using an unweighted graph?
A major difference is this: In an unweighted graph, breadth-first search guarantees that when we first make it to a node v , we can be sure we have found the shortest path to it; more searching will never find a path to v with fewer edges.
