A tutorial on modeling and analysis of dynamic social networks. Part II

Recent years have witnessed a significant trend towards filling the gap between Social Network Analysis (SNA) and control theory. This trend was enabled by the introduction of new mathematical models describing dynamics of social groups, the development of algorithms and software for data analysis a...

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Bibliographic Details
Published in:Annual reviews in control Vol. 45; pp. 166 - 190
Main Authors: Proskurnikov, Anton V., Tempo, Roberto
Format: Journal Article
Language:English
Published: Elsevier Ltd 2018
Subjects:
Distributed algorithms
Multi-agent systems
Opinion dynamics
Social network
Social network
Opinion dynamics
Distributed algorithms
Multi-agent systems
ISSN:1367-5788
Online Access:Get full text
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Summary:Recent years have witnessed a significant trend towards filling the gap between Social Network Analysis (SNA) and control theory. This trend was enabled by the introduction of new mathematical models describing dynamics of social groups, the development of algorithms and software for data analysis and the tremendous progress in understanding complex networks and multi-agent systems (MAS) dynamics. The aim of this tutorial is to highlight a novel chapter of control theory, dealing with dynamic models of social networks and processes over them, to the attention of the broad research community. In its first part (Proskurnikov & Tempo, 2017), we have considered the most classical models of social dynamics, which have anticipated and to a great extent inspired the recent extensive studies on MAS and complex networks. This paper is the second part of the tutorial, and it is focused on more recent models of social processes that have been developed concurrently with MAS theory. Future perspectives of control in social and techno-social systems are also discussed.
ISSN:1367-5788
DOI:10.1016/j.arcontrol.2018.03.005