Overview
- Surveys the well-known results and also presents a series of original results on the mathematical modeling of social networks
- Focuses on models of informational influence, control, and confrontation
- Appeals to students and experts in the field of information technology and modeling of social systems and processes
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 189)
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Table of contents (3 chapters)
Keywords
About this book
This book surveys the well-known results and also presents a series of original results on the mathematical modeling of social networks, focusing on models of informational influence, control and confrontation.
Online social networks are intended for communication, opinion exchange and information acquisition for their members, but recently, online social networks have been intensively used as the objects and means of informational control and an arena of informational confrontation. They have become a powerful informational influence tool, particularly for the manipulation of individuals, social groups and society as a whole, as well as a battlefield of information warfare (cyberwars).
This book aimed at under- and postgraduate university students as well as experts in information technology and modeling of social systems and processes.
Authors and Affiliations
Bibliographic Information
Book Title: Social Networks: Models of Information Influence, Control and Confrontation
Authors: Alexander G. Chkhartishvili, Dmitry A. Gubanov, Dmitry A. Novikov
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-05429-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-05428-1Published: 12 January 2019
eBook ISBN: 978-3-030-05429-8Published: 30 December 2018
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XXX, 158
Topics: Computational Intelligence, Control and Systems Theory, Artificial Intelligence