The book covers tools in the study of online social networks such
as machine learning techniques, clustering, and deep learning. A
variety of theoretical aspects, application domains, and case
studies for analyzing social network data are covered. The aim is
to provide new perspectives on utilizing machine learning and
related scientific methods and techniques for social network
analysis. Machine Learning Techniques for Online Social Networks
will appeal to researchers and students in these fields.
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