This seminar series introduces the fundamental concepts and tools of Network Science, focusing on analyzing and understanding complex systems through graph-based models with practical applications in various fields such as sociology, power grids, and machine learning.

In this third seminar, you will familiarize with synthetic models, a key family of tools for understanding the structure and dynamics of complex systems. You will learn:

• What synthetic models are;
• Why are they important;
• A focus on two of the most important ones: Erdős–Rényi model and Barabási–Albert model;

The seminar is composed of the following:

• The lecture (approximately 45 minutes);
• Q&A;

Optional Hands-on lab.  A Jupiter Notebook will be provided with some exercise to get familiar with the Python network analysis library (NetworkX)