Corpus ID: 226227414

Fast Network Community Detection with Profile-Pseudo Likelihood Methods.

@article{Wang2020FastNC,
  title={Fast Network Community Detection with Profile-Pseudo Likelihood Methods.},
  author={Jiangzhou Wang and Jingfei Zhang and Binghui Liu and Ji Zhu and Jingqiu Guo},
  journal={arXiv: Methodology},
  year={2020}
}
The stochastic block model is one of the most studied network models for community detection. It is well-known that most algorithms proposed for fitting the stochastic block model likelihood function cannot scale to large-scale networks. One prominent work that overcomes this computational challenge is Amini et al.(2013), which proposed a fast pseudo-likelihood approach for fitting stochastic block models to large sparse networks. However, this approach does not have convergence guarantee, and… Expand

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