  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.
