1st Virtual GESIS Methods Seminar 2020

Chapter: Introduction to Social Network Science with Python

Instructors:

Dr. Haiko Lietz [website] [github]

MSc. Olga Zagovora [website] [github] [twitter]

MSc. Lisette Espin-Noboa [website] [github] [twitter]

Venue and Dates

Dates: Sep. 21 - Sep. 25, 2020

Venue: Virtual (ZOOM)

Materials: ILIAS and GitHub

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Run everyhting in the cloud

You can open the whole repository and work with it in the cloud.
All your modifications and new files will be stored until you delete them.
Note: You need an account to login first. Just click the button and follow the instructions from "You are not yet registered?"

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Exercises (one-by-one)

You can opt for working on individual exercises only.
However, all your modifications will be lost after a few minutes of inactivity (or if you close the notebook).

Preparation (warm-up)

#	Notebook	Launch
0	Introduction to Python and Jupyter notebooks
1	Variables, Strings, Numbers and Operators
2	Lists and Tuples
3	Dictionaries
4	If statement
5	Functions
6	More functions

Day 1:

#	Notebook	Instructor	Demo	Exercise	Solution
1	Essential Python functionality & data structures	Olga
2	From data to networks and back	Lisette

Day 2:

#	Notebook	Instructor	Demo	Exercise	Solution
1	Network construction & Visualization	Haiko
2	Node centrality	Olga

Day 3:

#	Notebook	Instructor	Demo	Exercise	Solution
1	Brokerage and Closure	Haiko
2	Cohesion	Haiko

Day 4:

#	Notebook	Instructor	Demo	Exercise	Solution
1	Community detection	Haiko	-
2	Hypothesis testing on networks	Lisette