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Introduction to Network Analysis and Modelling

May 28 - June 5

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

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.

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!

The Global Plant Council members are entitled to a 20% discount on course fees using the discount code: GC927384


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