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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Bibliographic Details
Main Authors: MA, Shujie, SU, Liangjun, ZHANG, Yichong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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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