Network Analysis and Visualization
This is the page for the Network Analysis and Visualization class within the YADESA project. The class is held remotely on Zoom.
Class Description
This class will last 4 hours and will introduce the audience to the following topics:
- Overview of Network Analysis: networks, measures and tasks
- Network Analysis in Python with NetworkX
- Network Visualization with Gephi
Slides: here (adapted from Prof. Giulio Rossetti’s material)
Notebook: here. Please do “File -> Make a Copy on Drive” otherwise, if you edit the notebook, your results won’t be saved!
Network data:
Book with network theory/practice explained in simple terms and easy tone: Atlas for the Aspiring Network Scientist
More narrative books:
- A.-L. Barabasi. “Linked”. PLUME, Penguin Group, 2002.
- Duncan J. Watts. “Six Degrees: The Science of a Connected Age.” Norton, New York, 2003.
Feedback
I am looking for ways to improve my teaching skills, and I welcome any feedback from the students. I’d really appreciate if you could answer two short questions anonymously here (should take less than 5 minutes).