In this repository, you will find a collection of pathpy tutorials on (Spatial)-Temporal Network Analysis and Visualisation as well as Higher-Order Network Analytics and Multi-Order Model Selection.
While you can manually download all necessary files, we strongly recommend to
clone this repository to obtain a local, sychronised copy of all material via
git. Assuming you have a local git installation, you can do this as follows:
git clone --depth 1 --branch NetSci-2020 https://github.com/pathpy/pathpy-tutorials
The option --depth 1 ensures that you only get the latest version, ignoring
the history of the repository. Furthermore, the option --branch <Tag>
(e.g. --branch NetSci-2020) ensures that you get the right tutorials. If you
don't have git installed already, here you can find information on how to set
up git.
Prior to the hands-on tutorial, you will get access to skeleton python files,
that we will complete together throughout the tutorial sessions. At specific
*synchronisation points, we will push a commit of the current solution to this
gitHub repository. You can thus simply execute the terminal command
git pull
in the directory of your local copy to receive a sample solution that is growing as the tutorial advances.
Our team is comitted to assist users in leveraging the power of Higher-Order Network Analytics. We regularly offer talks, lectures, demonstrations, and tutorials that introduce Higher-Order Network Analytics with pathpy. Below we collect information on those events, which often include publicly available educational material and video recordings.
Are you interest in hosting a lecture or tutorial on pathpy in your institution? Or are you using pathpy to teach (higher-order** network analytics? We would be excited to hear from you!
Previous Tutorials
| Date | Event | Title | Tag |
|---|---|---|---|
| 2020-01-23 | NetSci-X 2020 Tokyo | Higher-Order Network Models for Temporal Network Data | NetSciX-2020 |
| 2020-09-17 | NetSci 2020 Rome | Live Demo: pathpy 3 | NetSci-2020 |