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

Anton V. Proskurnikov; Roberto Tempo

doi:10.1016/j.arcontrol.2017.03.002

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

Anton V. Proskurnikov^*, Roberto Tempo

^*Corresponding author for this work

Team Tamas Keviczky

Research output: Contribution to journal › Review article › peer-review

290 Citations (Scopus)

312 Downloads (Pure)

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.

Original language	English
Pages (from-to)	65-79
Journal	Annual Reviews in Control
Volume	43
DOIs	https://doi.org/10.1016/j.arcontrol.2017.03.002
Publication status	Published - 2017

Bibliographical note

Accepted Author Manuscript
Corrigendum to ‘‘A tutorial on modeling and analysis of dynamic social
networks. Part I.’’ [Annu. Rev. Control 43 (2017) 65–79]: https://doi.org/10.1016/j.arcontrol.2020.12.003

Keywords

Distributed algorithms
Multi-agent systems
Opinion dynamics
Social network

Access to Document

10.1016/j.arcontrol.2017.03.002

opinionAccepted author manuscript, 372 KBLicence: CC BY-NC-ND

Cite this

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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.",

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KW - Multi-agent systems

KW - Opinion dynamics

KW - Social network

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SP - 65

EP - 79

JO - Annual Reviews in Control

JF - Annual Reviews in Control

ER -

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

Abstract

Bibliographical note

Keywords

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