A tutorial on modeling and analysis of dynamic social networks. Part I |
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| Affiliation: | 1. Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands;2. Institute of Problems of Mechanical Engineering of the Russian Academy of Sciences (IPME RAS), St. Petersburg, Russia;3. ITMO University, St. Petersburg, Russia;4. CNR-IEIIT, Politecnico di Torino, Torino, Italy;1. Delft Center for Systems and Control (DCSC), Delft University of Technology, The Netherlands;2. Institute for Problems of Mechanical Engineering (IPME RAS), St. Petersburg, Russia;3. ITMO University, St. Petersburg, Russia;4. CNR-IEIIT, Politecnico di Torino, Torino, Italy;5. Engineering and Technology Institute (ENTEG), University of Groningen, The Netherlands;6. Center for Control, Dynamical Systems and Computation, University of California Santa Barbara, Santa Barbara, USA |
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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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