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978-3-030-10767-3 |
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DE-He213 |
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20240322003635.0 |
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cr nn 008mamaa |
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190122s2019 sz | s |||| 0|eng d |
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|a 9783030107673
|9 978-3-030-10767-3
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|a 10.1007/978-3-030-10767-3
|2 doi
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|a Rezvanian, Alireza.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Learning Automata Approach for Social Networks
|h [electronic resource] /
|c by Alireza Rezvanian, Behnaz Moradabadi, Mina Ghavipour, Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi.
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| 250 |
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|a 1st ed. 2019.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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| 300 |
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|a XVII, 329 p. 107 illus., 72 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 820
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| 505 |
0 |
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|a 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.
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| 520 |
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|a 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.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Social media.
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| 650 |
1 |
4 |
|a Computational Intelligence.
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| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 650 |
2 |
4 |
|a Social Media.
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| 700 |
1 |
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|a Moradabadi, Behnaz.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 700 |
1 |
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|a Ghavipour, Mina.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 700 |
1 |
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|a Daliri Khomami, Mohammad Mehdi.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 700 |
1 |
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|a Meybodi, Mohammad Reza.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
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8 |
|i Printed edition:
|z 9783030107666
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783030107680
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| 830 |
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|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 820
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-10767-3
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| 912 |
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|a ZDB-2-INR
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| 912 |
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|a ZDB-2-SXIT
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| 950 |
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|a Intelligent Technologies and Robotics (SpringerNature-42732)
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| 950 |
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|a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
|