Network Diffusion Library
NDlib - Network Diffusion Library
NDlib provides implementations of several spreading and opinion dynamics models.
The project documentation can be found on ReadTheDocs.
If you use
NDlib as support to your research consider citing:
G. Rossetti, L. Milli, S. Rinzivillo, A. Sirbu, D. Pedreschi, F. Giannotti. NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks. Journal of Data Science and Analytics. 2017. DOI:0.1007/s41060-017-0086-6 (pre-print available on arXiv)
G. Rossetti, L. Milli, S. Rinzivillo, A. Sirbu, D. Pedreschi, F. Giannotti. "NDlib: Studying Network Diffusion Dynamics", IEEE International Conference on Data Science and Advanced Analytics, DSAA. 2017.
To install the library just download (or clone) the current project and copy the ndlib folder in the root of your application.
Alternatively use pip:
sudo pip install ndlib
Documentation, Tutorials and Online Environments
For examples, tutorials and a complete reference visit the project documentation website on ReadTheDocs.
If you would like to test
NDlib functionalities withouth installing anything on your machine consider using the preconfigured Jupyter Hub instances offered by SoBigData++.
Jupyter Notebook Tutorial
Interested in an extensive tutorial on NDlib? Check out the official Jupyter Notebooks!
Collaborate with us!
NDlib is an active project, any contribution is welcome!
If you like to include your model in NDlib (as well as in NDlib-REST) feel free to fork the project, open an issue and contact us.
How to contribute to this project?
Do you want to be part of the NDlib community to discuss enhancements, desiderata, bug fix? Join us on Slack!
We are a welcoming community... just follow the Code of Conduct.
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