Optimal Rates for Community Estimation in the Weighted Stochastic Block Model

arXiv: Statistics Theory, (2017)

Cited by: 4|Views5

Abstract:

Community identification in a network is an important problem in fields such as social science, neuroscience, and genetics. Over the past decade, stochastic block models (SBMs) have emerged as a popular statistical framework for this problem. However, SBMs have an important limitation in that they are suited only for networks with unweigh...More

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