Print Email Facebook Twitter A tutorial on modeling and analysis of dynamic social networks. Part II Title A tutorial on modeling and analysis of dynamic social networks. Part II Author Proskurnikov, A.V. (TU Delft Team Tamas Keviczky; ITMO University; Russian Academy of Sciences) Tempo, Roberto (Politecnico di Torino) Date 2018 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. Subject Distributed algorithmsMulti-agent systemsOpinion dynamicsSocial network To reference this document use: http://resolver.tudelft.nl/uuid:e85b40a0-c39e-4484-8e56-e6f09d7b78b5 DOI https://doi.org/10.1016/j.arcontrol.2018.03.005 Embargo date 2020-04-10 ISSN 1367-5788 Source Annual Reviews in Control, 45, 166-190 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type journal article Rights © 2018 A.V. Proskurnikov, Roberto Tempo Files PDF opinion.pdf 818.2 KB Close viewer /islandora/object/uuid:e85b40a0-c39e-4484-8e56-e6f09d7b78b5/datastream/OBJ/view