Learning Automata Approach for Social Networks is popular PDF and ePub book, written by Alireza Rezvanian in 2019-01-22, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Learning Automata Approach for Social Networks can be Read Online from any device for your convenience.
Learning Automata Approach for Social Networks Book PDF Summary
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’ evolution, and to develop the algorithms required for meaningful analysis. As an emerging artificial intelligence research area, learning automata (LA) has already had a significant impact in many areas of social networks. Here, the research areas related to learning and social networks are addressed from bibliometric and network analysis perspectives. In turn, the second part of the book highlights a range of LA-based applications addressing social network problems, from network sampling, community detection, link prediction, and trust management, to recommender systems and finally influence maximization. Given its scope, the book offers a valuable guide for all researchers whose work involves reinforcement learning, social networks and/or artificial intelligence.
Detail Book of Learning Automata Approach for Social Networks PDF
- Author : Alireza Rezvanian
- Release : 22 January 2019
- Publisher : Springer
- ISBN : 9783030107673
- Genre : Technology & Engineering
- Total Page : 329 pages
- Language : English
- PDF File Size : 15,6 Mb
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