Mob Control: Models of Threshold Collective Behavior

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Social & Cultural Studies, Social Science
Cover of the book Mob Control: Models of Threshold Collective Behavior by Dmitry A. Novikov, Andrey D. Rogatkin, Vladimir V. Breer, Springer International Publishing
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Author: Dmitry A. Novikov, Andrey D. Rogatkin, Vladimir V. Breer ISBN: 9783319518657
Publisher: Springer International Publishing Publication: January 24, 2017
Imprint: Springer Language: English
Author: Dmitry A. Novikov, Andrey D. Rogatkin, Vladimir V. Breer
ISBN: 9783319518657
Publisher: Springer International Publishing
Publication: January 24, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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