This course covers the foundational theories and models in network science, with a focus on socio-
economic systems.
Topics
The course will cover the following topics in Network Science:
- Network theory basics
- Network growth models
- Community detection algorithms
- Processes on Networks
- Network ensembles
- Financial and Economic Networks
- Social Networks
Format
The course takes the form of seminars and coding sessions:
- 13 Seminars, the first 7 covering the main topics in Network Science, the following 6 covering more advanced techniques and applications of Network Science to Socio-Economic systems.
- 1 Students Presentation Session
- 8 Coding Sessions
Grading
Students select a published article from a set of readings or a dataset. The exam consist in reproducing the paper or analyzing the dataset using the techniques discussed in the course. The course grade is based on the student presentation (35%), the code (15%), and on the report (50%). Reports should be 4/5 pages long (including the bibliography) and must contain
- Abstract
- Introduction
- Results
- Discussion
- Methods
- References
Coding Sessions
A practical part of exercises connected to the lectures will be offered. It is highly recommended to participate in these coding sesisons because it will help to acquire the skills that are important for the final project. The exercises will not be graded.
Seminars
October 21, 2024 - Introduction to Network Science
October 28, 2024 - Network Theory Basics
November 04, 2024 - Random Graphs and Small World
November 11, 2024 - Scale Free Networks
November 18, 2024 - Measuring Nodes Centrality
November 25, 2024 - Communities in Networks
December 2, 2024 - Processes on Networks
December 9, 2024 - Network Ensembles
December 16, 2024 - Multilayer and Higher Order Networks
January 13, 2025 - Economic and Financial Networks 2
January 20, 2025 - Economic and Financial Networks 1
January 27, 2025 - Social Networks
February 03, 2025 - Advanced Topics in Network Science
February 04, 2025 - Students Presentations
Coding Sessions
October 29, 2024 - Analysis of real world networks
November 12, 2024 - Simulating network growth processes
November 19, 2024 - Centrality measures
November 26, 2024 - Community detection algorithms
December 3, 2024 - Simulating processes on networks
December 10, 2024 - Configuration models
January 14, 2025 - Analysis of the world trading network
January 28, 2025 - Analysis of social networks
