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Live Online Course – 2nd Edition

Introduction to Network Analysis and Modelling

September 22nd, 24th, 26th, and 29th & October 1st, 2025

Course Introduction to Network Analysis and Modeling

Registration is closed

Are you interested in this course?

Please fill in the form below, and we will let you know as soon as the next edition is announced.
You can also use this form to request this as an in-house course for your group.

Course Overview

Networks are pervasive in various fields, from biology and ecology to sociology, computer science, and beyond. This course is designed for researchers and students from diverse disciplines who are interested in understanding and analysing complex systems using network theory.

The course will cover the following key topics:

  • Introduction to networks
  • Random Graphs and Null Models
  • Community Structure and Mixing Patterns
  • Ranking in Networks
  • Introduction to Dynamics on Networks and Dynamics of Networks

Whether you are a biologist, sociologist, computer scientist, or researcher in any other field, this course will equip you with valuable tools and insights for studying and analysing complex systems through the lens of network theory. Join us as we explore the fascinating world of complex networks!

Places are limited to 16 participants.

Programme

  • Introduction to networks:
    Understand the basics of what networks are and their representation.
  • Random Graphs and Null Models:
    Explore fundamental concepts in random graphs and null models to comprehend the structure of real-world networks.
  • Community Structure and Mixing Patterns:
    Investigate how networks exhibit interaction structure and analyze mixing patterns within them.
  • Ranking in Networks:
    Examine algorithms for ranking nodes within networks to identify their significance.
  • Introduction to Dynamics on Networks and Dynamics of Networks:
    An overview of how dynamical processes work on networks and models of network growth.
  • Sharing individual projects in plenum:
    Participants will present a project of their own, where they can apply the methods taught on the course, to receive feedback from the instructor and the group.

Assumed Background

Previous knowledge of Python, or any other coding language (e.g. R) is required to follow the course.

Dates & Schedule

Online live sessions on September 22nd, 24th, 26th, and 29th & October 1st.

From 10:00 to 14:00 (Madrid time zone).

Total course hours: 25 (20 hours of online live lessons, plus 5 hours of participants working independently).

Format

In the live sessions we will combine online lectures with hands-on computational exercises, in Python, to provide both theoretical understanding and practical skills in the analysis of complex networks.

Live sessions will be recorded. However, attendance to the live sessions is required to obtain the course certificate.

This course will be delivered in English.

Instructor

Virginia Dominguez Garcia instructor for Transmitting Science

Dr. Virginia Dominguez-García

Estación Biológica de Doñana, CSIC
Spain

Registration Fees

  • Course Fee
  • Early bird (until August 31st, 2025):
  • 452 €
    (361.6 € for Ambassador Institutions)
  • Regular (after August 31st, 2025):
  • 540 €
    (432 € for Ambassador Institutions)
  • Prices include VAT.
    After registration you will receive confirmation of your acceptance on the course.
    Payment is not required during registration. Check discounts here.