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.