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

Review (2017)

Authors

A.V. Proskurnikov Russian Academy of Sciences, Team Tamas Keviczky - Mechanical, Maritime and Materials Engineering , ITMO University
Roberto Tempo National Research Council, Politecnico di Torino
Research Group
Team Tamas Keviczky (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2017 A.V. Proskurnikov, Roberto Tempo
DOI
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https://doi.org/10.1016/j.arcontrol.2017.03.002
Multi-agent systems Social network Opinion dynamics Distributed algorithms
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Published Date

2017

Language

English

Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Tamas Keviczky

Abstract

In recent years, we have observed a significant trend towards filling the gap between social network analysis and control. This trend was enabled by the introduction of new mathematical models describing dynamics of social groups, the advancement in complex networks theory and multi-agent systems, and the development of modern computational tools for big data analysis. The aim of this tutorial is to highlight a novel chapter of control theory, dealing with applications to social systems, to the attention of the broad research community. This paper is the first part of the tutorial, and it is focused on the most classical models of social dynamics and on their relations to the recent achievements in multi-agent systems.