Adapting Stochastic Block Models to Power-Law Degree Distributions

5 Apr 2019Maoying QiaoJun YuWei BianQiang LiDacheng Tao

Stochastic block models (SBMs) have been playing an important role in modeling clusters or community structures of network data. But, it is incapable of handling several complex features ubiquitously exhibited in real-world networks, one of which is the power-law degree characteristic... (read more)

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