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Question: Computer ScienceGiven a graph G = (V, E, W), where V is the set of nodes in G, E is the set of edges in G, and W is the set of positive weights assigned to edges in G. For a pair of nodes u and v, consider two graph-based similarity measures:(1) Sim1 (Jaccard similarity):Nu ∩ Nv Sim1(u, v) = | | , | N u ∪ N v |where N u and N v are the set of neighbors of u and v respectively, and | · | denotes the number of neighbors (cardinality of the set).(2) Sim2: Sim2(u, v) = e x , where x is the length of the shortest path between u and v, in terms of the total weights of the edges in the path. We can find the shortest path between any two nodes using Dijkstra's algorithm which has a complexity of O( | V | log( | V | ) + | E | ).
Mention one advantage and one disadvantage of both the measures when used to compute the similarity between two nodes.
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