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The Node Similarity algorithm compares a set of nodes based on the nodes they are connected to.
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Two nodes are considered similar if they share many of the same neighbors.
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Node Similarity computes pair-wise similarities based on either the Jaccard metric, also known as the Jaccard Similarity Score, or the Overlap coefficient, also known as the Szymkiewicz–Simpson coefficient.
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Node Similarity computes pair-wise similarities based on the Jaccard metric, also known as the Jaccard Similarity Score, the Overlap coefficient, also known as the Szymkiewicz–Simpson coefficient, and the Cosine Similarity score.
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The first two are most frequently associated with unweighted sets, whereas Cosine with weighted input.
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Given two sets `A` and `B`, the Jaccard Similarity is computed using the following formula:
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