networks-science-course
A course on Network Science, including network formation models, structural patterns, and dynamic processes.
This project is maintained by chatox
Practicum
Software requirements
You will need:
-
Python 3.11 or higher
- You can use the Anaconda package manager.
- If you prefer, you can also use the
pippackage manager and Python’s built-in virtual environments.
- Several Python packages
- networkx — version 3.5 or higher!
- matplotlib
- numpy
- scipy
-
Jupyter Notebooks
- Follow these instructions.
Feel free to install the packages on your own, any relevant versions are mentioned above. If you want to be sure you have all the correct versions, you can install using the requirements files provided in this directory:
-
requirements.txt— can be used withpip, see instructions. -
environment.yaml— can be used withconda, see instructions.
Please, if you run into problems installing this software, ask your classmates or in the course forum. Please do not ask the practice instructors, they absolutely do not have the bandwidth for this.
Practice sessions
Practice sessions are conducted with a computer.
There are seven practice sessions in this course. Two of them are mandatory in-person classes. The first session’s handout is a document, the remaining sessions have handouts that are Python notebooks. Download the notebooks, open them, and follow the instructions there (some instructions are in color and are not visible in the preview shown on the GitHub website). Each session starts with psNN and describe the activities that the students must perform during the practice session.
At the end of each handout there is a description of what you should deliver. Please ask in the course forum or to your practice instructor (“profesor/a de prácticas”) any questions you may have.
Deadline
You are expected to deliver your work within the deadline. Deadlines vary: some practices may be delivered several days after the practice sessions, other are expected to be delivered at the end of the session, i.e., you will have to complete them within the two hours.
| # | Handouts | Contents | Session Date 101/102 |
Deadline 101/102 |
Session Date 201 |
Deadline 201 |
|---|---|---|---|---|---|---|
| 1 | PS01 | The flavors network (Management networks data) | Oct. 20th, 18:30 | Oct. 23rd, 16:30 | Oct. 19th, 16:30 | Oct. 22nd, 14:30 |
| 2 | PS02 | Networks from text and networkx visualization | Oct. 21st, 14:30 | Oct. 23rd, 16:30 | Oct. 21th, 18:30 | Oct. 22nd, 14:30 |
| 3 | [PS03] | Feedback session on PS01 and PS02 | Oct. 23rd, 16:30 | Oct. 16th, 14:30 | ||
| 4 | PS04 (Group 1, Group 2) | Lab exam | Oct. 27th, 18:30 | Oct. 27th, 20:30 | Oct. 27th, 18:30 | Oct. 27th, 20:30 |
| 5 | PS05 | PageRank | Nov. 17th, 18:30 | Nov. 23nd, 16:30 | Nov. 16th, 16:30 | Nov. 23nd, 16:30 |
| 6 | PS06 | Network models | Nov. 18th, 14:30 | Nov. 23nd, 16:30 | Nov. 18th, 18:30 | Nov. 23nd, 16:30 |
| 7 | PS07 (Group 1, Group 2) | Lab exam | Nov. 23nd, 16:30 | Nov. 23nd, 18:30 | Nov. 23nd, 16:30 | Nov. 23nd, 18:30 |
| 8 | PS08 | Community detection | Dec. 1st, 18:30 | Dec. 4th, 16:30 | Nov. 30th, 16:30 | Dec. 4th, 16:30 |
| 9 | Old exams | Old exams review | Dec. 2nd, 14:30 | —– | Dec. 3rd, 14:30 | —– |
Tutorials/reference
Cytoscape
- Cytoscape 8-minutes video tutorial
- Cytoscape tutorial
- Emma Towlson’s slides (old Cytoscape version)
NetworkX
- Complex Network Analysis in Python (2018) by Dmitry Zinoviev. Also available as an e-book for UPF students.
- NetworkX documentation
- Social network analysis with NetworkX by Manojit Nandi
- NetworkX: Network analysis with Python by Salvatore Scellato