Proceedings of the 26th International Conference on World Wide Web 2017
DOI: 10.1145/3038912.3052633
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Abstract: Finding similar user pairs is a fundamental task in social networks, with numerous applications in ranking and personalization tasks such as link prediction and tie strength detection. A common manifestation of user similarity is based upon network structure: each user is represented by a vector that represents the user's network connections, where pairwise cosine similarity among these vectors defines user similarity. The predominant task for user similarity applications is to discover all similar pairs that … Show more

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Cited by 6 publications
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“…In designing our experiment and evaluating the results, we use a variant of average pairwise cosine similarity (Sharma, Seshadhri, and Goel 2017)-defined below-as our measure of structural diversity. With this measure, lower similarity corresponds to higher diversity.…”
Section: Defining Structural Diversitymentioning
confidence: 99%
“…In designing our experiment and evaluating the results, we use a variant of average pairwise cosine similarity (Sharma, Seshadhri, and Goel 2017)-defined below-as our measure of structural diversity. With this measure, lower similarity corresponds to higher diversity.…”
Section: Defining Structural Diversitymentioning
confidence: 99%