Learning Automata Approach for Social Networks

• Main Authors: Rezvanian, Alireza (Author, http://id.loc.gov/vocabulary/relators/aut), Moradabadi, Behnaz (http://id.loc.gov/vocabulary/relators/aut), Ghavipour, Mina (http://id.loc.gov/vocabulary/relators/aut), Daliri Khomami, Mohammad Mehdi (http://id.loc.gov/vocabulary/relators/aut), Meybodi, Mohammad Reza (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Computational Intelligence, 820
• Subjects: Computational intelligence.; Artificial intelligence.; Social media.; Computational Intelligence.; Artificial Intelligence.; Social Media.

This book begins by briefly explaining learning automata (LA) models and a recently developed cellular learning automaton (CLA) named wavefront CLA. Analyzing social networks is increasingly important, so as to identify behavioral patterns in interactions among individuals and in the networks'...

Table of Contents:

• Introduction to Learning Automata Models
• Wavefront Cellular Learning Automata: A New Learning Paradigm
• Social Networks and Learning Systems: A Bibliometric Analysis
• Social Network Sampling
• Social Community Detection
• Social Link Prediction
• Social Trust Management
• Social Recommender Systems
• Social Influence Maximization.