Hyperbolic embedding of networks reveals community structure via angular node positions, with partitions compared to pre-embedding results on synthetic, real, and political retweet graphs.
A density-based algorithm for discovering clusters in large spatial databases with noise
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Community Detection in the Hyperbolic Space
Hyperbolic embedding of networks reveals community structure via angular node positions, with partitions compared to pre-embedding results on synthetic, real, and political retweet graphs.