One day workshop on network science, with a focus on creating node-level features in multiplex networks using matrix multiplication

Instructors

Javier Garcia-Bernardo (SoDa/UU) Eszter Bokányi (POPNET/UvA)

Folder structure

Slides:

• Slides Code:
• 1_intro_networks: First practical on networkx
• 2_matrix_multiplication: Second practical on matrix multiplication
• 3_popnet: Third practical on matrix multiplication in the context of CBS data
• z_lecture_simulations: Creating some plots used during the lectures

How to run the code

1. Install anaconda/miniconda
2. Install dependencies and start jupyter notebook

conda env create -f environment.yml
conda activate networks
jupyter notebook