Determining the number of communities in degree-corrected stochastic block models
We propose to estimate the number of communities in degree-corrected stochastic block models based on a pseudo likelihood ratio. For estimation, we consider a spectral clustering together with binary segmentation method. This approach guarantees an upper bound for the pseudo likelihood ratio statist...
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Main Authors: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/soe_research/2485 https://ink.library.smu.edu.sg/context/soe_research/article/3484/viewcontent/20_037_pvoa.pdf |
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Institution: | Singapore Management University |
Language: | English |
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