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)
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.
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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 | |
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| 2 | From data to networks and back | Lisette | |
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Day 2:
| # | Notebook | Instructor | Demo | Exercise | Solution |
|---|---|---|---|---|---|
| 1 | Network construction & Visualization | Haiko | |
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| 2 | Node centrality | Olga | |
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Day 3:
| # | Notebook | Instructor | Demo | Exercise | Solution |
|---|---|---|---|---|---|
| 1 | Brokerage and Closure | Haiko | |
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| 2 | Cohesion | Haiko | |
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Day 4:
| # | Notebook | Instructor | Demo | Exercise | Solution |
|---|---|---|---|---|---|
| 1 | Community detection | Haiko | - | |
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| 2 | Hypothesis testing on networks | Lisette | |
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