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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Vydáno v:Annual reviews in control Ročník 45; s. 166 - 190
Hlavní autoři: Proskurnikov, Anton V., Tempo, Roberto
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 2018
Témata:
Distributed algorithms
Multi-agent systems
Opinion dynamics
Social network
Social network
Opinion dynamics
Distributed algorithms
Multi-agent systems
ISSN:1367-5788
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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.
AbstractList 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.
Author Proskurnikov, Anton V.
Tempo, Roberto
Author_xml – sequence: 1
  givenname: Anton V.
  orcidid: 0000-0001-6556-522X
  surname: Proskurnikov
  fullname: Proskurnikov, Anton V.
  email: anton.p.1982@ieee.org
  organization: Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands
– sequence: 2
  givenname: Roberto
  surname: Tempo
  fullname: Tempo, Roberto
  organization: CNR-IEIIT, Politecnico di Torino, Torino, Italy
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Snippet 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...
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SubjectTerms Distributed algorithms
Multi-agent systems
Opinion dynamics
Social network
Title A tutorial on modeling and analysis of dynamic social networks. Part II
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