Overview
- Discusses mathematical models of mob control with threshold collective decision-making of the agents
- Considers the static and dynamic models of mob control, based on an analysis of the interconnection between the micro and macromodels of active network structures
- Highlights models of informational confrontation
- Includes many results that are applicable not only to mob control problems, but also to control problems arising in social groups, online social networks, etc.
- Intended for researchers and practitioners, as well as undergraduate and postgraduate students and doctoral candidates specializing in the field of collective behavior modeling
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 85)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book presents mathematical models of mob control with threshold (conformity) collective decision-making of the agents. Based on the results of analysis of the interconnection between the micro- and macromodels of active network structures, it considers the static (deterministic, stochastic and game-theoretic) and dynamic (discrete- and continuous-time) models of mob control, and highlights models of informational confrontation. Many of the results are applicable not only to mob control problems, but also to control problems arising in social groups, online social networks, etc. Aimed at researchers and practitioners, it is also a valuable resource for undergraduate and postgraduate students as well as doctoral candidates specializing in the field of collective behavior modeling.
Authors and Affiliations
Bibliographic Information
Book Title: Mob Control: Models of Threshold Collective Behavior
Authors: Vladimir V. Breer, Dmitry A. Novikov, Andrey D. Rogatkin
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-51865-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-51864-0Published: 02 February 2017
Softcover ISBN: 978-3-319-84763-4Published: 13 July 2018
eBook ISBN: 978-3-319-51865-7Published: 24 January 2017
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: VIII, 134
Number of Illustrations: 16 b/w illustrations, 13 illustrations in colour
Topics: Computational Intelligence, Computational Social Sciences, Artificial Intelligence, Control and Systems Theory, Complex Systems, Computer Appl. in Social and Behavioral Sciences