Through the use Expectation Maximization (EM) algorithm, we drive estimates for the model parameters and propose a community detection algorithm based on the EM ...
Through the use Expectation Maximization (EM) algorithm, we drive estimates for the model parameters and propose a community detection algorithm based on the EM ...
In this paper, we introduce a generative process to model the interactions between social network's actors. Through unsupervised learning using expectation ...
Hafez, A. I., A. E. Hassanien, A. Fahmy, and M. Tolba, "Community Detection in Social Networks by using Bayesian network and Expectation Maximization technique" ...
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Through unsupervised learning using expectation maximization, we derive an efficient and fast community detection algorithm based on Bayesian network and ...
Aug 12, 2024 · This paper provides a systematic mapping of machine learning-based community detection approaches. The study aimed to show the type of communities in social ...
Jan 2, 2015 · Fahm and M.F.Talba, “Community Detection in. Social Networks by using Bayesian network and Expectation Maximization technique”, 2013 IEEE.
Enhancing business networks using social network based virtual communities. Industrial Management & Data Sys- tems 106(1), 121–138. Leskovec, J., A. Krause ...
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Abstract. We introduce a Bayesian estimator of the underlying class structure in the stochastic block model, when the number of classes is known.