gesiscss/methods_seminar_2020_network_science

Introduction to Social Network Science in Python

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

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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