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

Anton V. Proskurnikov*, Roberto Tempo

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

95 Citations (Scopus)
15 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)166-190
JournalAnnual Reviews in Control
Volume45
DOIs
Publication statusPublished - 2018

Bibliographical note

Accepted Author Manuscript

Keywords

  • Distributed algorithms
  • Multi-agent systems
  • Opinion dynamics
  • Social network

Fingerprint

Dive into the research topics of 'A tutorial on modeling and analysis of dynamic social networks. Part II'. Together they form a unique fingerprint.

Cite this