Scalable Spatio-temporal Top-k Interaction Queries on Dynamic Communities
Abdulaziz Almaslukh,
Yongyi Liu,
Amr Magdy
Abstract:Social media platforms generate massive amounts of data that reveal valuable insights about users and communities at large. Existing techniques have not fully exploited such data to help practitioners perform a deep analysis of large online communities. Lack of scalability hinders analyzing communities of large sizes and requires tremendous system resources and unacceptable runtime. This paper proposes a new analytical query that identifies the top-
k
posts that a given user community h… Show more
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