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

机译:关于动态社交网络建模和分析的教程。第二部分

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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. (C) 2018 Elsevier Ltd. All rights reserved.
机译:近年来,目睹了填补社交网络分析(SNA)和控制理论之间的空白的重要趋势。通过引入描述社会群体动态的新数学模型,用于数据分析的算法和软件的开发以及在理解复杂网络和多智能体系统(MAS)动力学方面的巨大进步,实现了这一趋势。本教程的目的是突出控制理论的新篇章,涉及社会网络的动态模型及其上的过程,以引起广大研究界的关注。在其第一部分(Proskurnikov&Tempo,2017)中,我们考虑了最经典的社会动力学模型,该模型预见并在很大程度上启发了有关MAS和复杂网络的最新研究。本文是本教程的第二部分,重点关注与MAS理论同时开发的最新社会过程模型。还讨论了社会和技术社会系统中控制的未来观点。 (C)2018 Elsevier Ltd.保留所有权利。

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