Learning Automata Approach for Social Networks
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
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Alireza Rezvanian Behnaz Moradabadi Mina Ghavipour Mohammad Mehdi Daliri Khomami Mohammad Reza Meybodi
Learning Automata Approach for Social Networks
Studies in Computational Intelligence Volume 820
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. The books of this series are submitted to indexing to Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.
More information about this series at http://www.springer.com/series/7092
Alireza Rezvanian Behnaz Moradabadi Mina Ghavipour Mohammad Mehdi Daliri Khomami Mohammad Reza Meybodi •
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Learning Automata Approach for Social Networks
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Alireza Rezvanian School of Computer Science Institute for Research in Fundamental Sciences (IPM) Tehran, Iran
Behnaz Moradabadi Computer Engineering and Information Technology Department Amirkabir University of Technology (Tehran Polytechnic) Tehran, Iran
and Computer Engineering and Information Technology Department Amirkabir University of Technology (Tehran Polytechnic) Tehran, Iran
Mohammad Mehdi Daliri Khomami Computer Engineering and Information Technology Department Amirkabir University of Technology (Tehran Polytechnic) Tehran, Iran
Mina Ghavipour Computer Engineering and Information Technology Department Amirkabir University of Technology (Tehran Polytechnic) Tehran, Iran Mohammad Reza Meybodi Computer Engineering and Information Technology Department Amirkabir University of Technology (Tehran Polytechnic) Tehran, Iran
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-3-030-10766-6 ISBN 978-3-030-10767-3 (eBook) https://doi.org/10.1007/978-3-030-10767-3 Library of Congress Control Number: 2018966843 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and
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