Mob Control: Models of Threshold Collective Behavior (Hardcover, 1st ed. 2017)

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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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Product Description

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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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Studies in Systems, Decision and Control, 85

Release date

February 2017

Availability

Expected to ship within 12 - 17 working days

First published

2017

Authors

, ,

Dimensions

235 x 155 x 10mm (L x W x T)

Format

Hardcover

Pages

134

Edition

1st ed. 2017

ISBN-13

978-3-319-51864-0

Barcode

9783319518640

Categories

LSN

3-319-51864-X



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