R Tutorial 36: Pseudo-Likelihood Methods for Stochastic Block Model in Community Detection

Reference: Amini, Arash A., et al. “PSEUDO-LIKELIHOOD METHODS FOR COMMUNITY DETECTION IN LARGE SPARSE NETWORKS.” The Annals of Statistics, vol. 41, no. 4, 2013, pp. 2097–2122.

Link: arxiv.org/pdf/1207.2340.pdf

This video is going to talk about my R codes for this algorithm: (1) an initial label e, (2) a range of setting, (3) update parameter until convergence, (4) update label e, (5) run again for T times. Personally I think this is a very awesome algorithm and it provides a very good outcome for community detection.

Thanks for watching. My website: allenkei.weebly.com

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