Summary and Schedule

This lesson was built with The Carpentries Workbench.

	Setup Instructions	Download files required for the lesson
Duration: 00h 00m	1. Networks - Introduction	How are graphs represented? How are graphs visualised? What are common types of graphs? ::::::::::::::::::::::::::::::::::::::::::::::::
Duration: 02h 00m	2. Networks - Quantification	How to generate test matrices using NetworkX? What is the purpose of the node degree and the degree distribution? How can a network be quantified? ::::::::::::::::::::::::::::::::::::::::::::::::
Duration: 04h 00m	3. Networks - Applications	What ways are there to import data into NetworkX? What are the common file import error? How to troubleshoot the import errors?
Duration: 06h 00m	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.

Package Installation

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To install the networkx package, run the following command on terminal.

pip install networkx==2.8.8

Note: The newer version (3.0) of this package has depreciated some of the functions being used in the lesson. The newer functions needs to be fully tested before update. Therefore, its recommnded to use the version 2.8.8.

Data Sets

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Please download the data zip file and unzip it to your Desktop. It contains:

Data files

• celegans131labels_50.csv
• celegans131matrix_50.csv
• celegans131positions_50.csv
• celegans277labels.csv
• celegans277matrix_bipartite.csv
• celegans277positions.csv
• celegans277positions.txt
• Stool_sparse_matrix_names.txt
• miserables.json
• bn-mouse_visual-cortex_1.edges

The code assumes a path to the data files as ‘data/…’ or ‘data\...’, respectively. To use this path, please create a subfolder called ‘data’ in your current directory and put the data files in it.