## Logistic regression augmented community detection for network data with application in identifying autism-related gene pathways.

- Yunpeng Zhao, Qing Pan, Chengan Du
- Biometrics
- 2018

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@inproceedings{Saldana2014HowMC, title={How Many Communities Are There ? ∗}, author={Diego Franco Saldana and Yi Yu and Y. P. Feng}, year={2014} }

- Published 2014

Abstract Stochastic blockmodels and variants thereof are among the most widely used approaches to community detection for social networks and relational data. A stochastic blockmodel partitions the nodes of a network into disjoint sets, called communities. The approach is inherently related to clustering with mixture models; and raises a similar model selection problem for the number of communities. The Bayesian information criterion (BIC) is a popular solution, however, for stochastic… CONTINUE READING

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