It takes the average reader 2 hours and 43 minutes to read Community Detection and Stochastic Block Models by Emmanuel Abbe
Assuming a reading speed of 250 words per minute. Learn more
The stochastic block model (SBM) is a random graph model with different group of vertices connecting differently. It is widely employed as a canonical model to study clustering and community detection, and provides a fertile ground to study the information-theoretic and computational tradeoffs that arise in combinatorial statistics and more generally data science. This monograph surveys the recent developments that establish the fundamental limits for community detection in the SBM, both with respect to information-theoretic and computational tradeoffs, and for various recovery requirements such as exact, partial and weak recovery. The main results discussed are the phase transitions for exact recovery at the Chernoff-Hellinger threshold, the phase transition for weak recovery at the Kesten-Stigum threshold, the optimal SNR-mutual information tradeoff for partial recovery, and the gap between information-theoretic and computational thresholds.
Community Detection and Stochastic Block Models by Emmanuel Abbe is 162 pages long, and a total of 40,824 words.
This makes it 55% the length of the average book. It also has 50% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 43 minutes to read Community Detection and Stochastic Block Models aloud.
Community Detection and Stochastic Block Models is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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