# A Tutorial on Modeling and Analysis of Dynamic Social Networks. Part I

## TL;DR

This paper introduces a tutorial on modeling and analyzing dynamic social networks, emphasizing the integration of control theory with social system analysis, focusing on classical social dynamics models and multi-agent systems.

## Contribution

It presents a comprehensive overview connecting social network analysis, control theory, and multi-agent systems, highlighting recent mathematical models and computational tools for social dynamics.

## Key findings

- Classical models of social dynamics are linked to modern multi-agent systems.
- Recent mathematical models enable better understanding of social group dynamics.
- Computational tools facilitate analysis of large-scale social networks.

## 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.