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 |
| Published: |
Institutional Knowledge at Singapore Management University
2018
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/soe_research/2269 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3268&context=soe_research |
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| Institution: | Singapore Management University |
| Language: | English |