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

机译:关于动态社交网络建模和分析的教程。第一部分

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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. (C) 2017 Elsevier Ltd. All rights reserved.
机译:近年来,我们发现了填补社交网络分析和控制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,复杂网络理论和多智能体系统的发展以及用于大数据分析的现代计算工具的发展,使这种趋势得以实现。本教程的目的是强调控制理论的新篇章,涉及社会系统的应用,以引起广大研究界的关注。本文是本教程的第一部分,重点介绍了社会动力学的最经典模型,以及它们与多主体系统中最新成就的关系。 (C)2017 Elsevier Ltd.保留所有权利。

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