Information-theoretic thresholds for community detection in sparse networks
@article{Banks2016InformationtheoreticTF, title={Information-theoretic thresholds for community detection in sparse networks}, author={J. Banks and C. Moore and Joe Neeman and Praneeth Netrapalli}, journal={ArXiv}, year={2016}, volume={abs/1607.01760} }
We give upper and lower bounds on the information-theoretic threshold for community detection in the stochastic block model. Specifically, consider the symmetric stochastic block model with $q$ groups, average degree $d$, and connection probabilities $c_\text{in}/n$ and $c_\text{out}/n$ for within-group and between-group edges respectively; let $\lambda = (c_\text{in}-c_\text{out})/(qd)$. We show that, when $q$ is large, and $\lambda = O(1/q)$, the critical value of $d$ at which community… CONTINUE READING
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