CDlib is a Python software package that allows extracting, comparing, and evaluating communities from complex networks.
The library provides a standardized input/output for several Community Detection algorithms. The implementations of all CD algorithms are inherited from existing projects; each acknowledged in the dedicated method reference page.
If you want to test CDlib functionalities without installing it on your machine, consider using the preconfigured Jupyter Hub instances offered by the EU funded SoBigData research infrastructure.
If you use CDlib in your research please cite the following paper:
G. Rossetti, L. Milli, R. Cazabet. CDlib: a Python Library to Extract, Compare and Evaluate Communities from Complex Networks. Applied Network Science Journal. 2019. DOI:10.1007/s41109-019-0165-9
| Date | Python Versions | Main Author | GitHub | pypl |
| 2025-04-25 | 3.8-3.9 | Giulio Rossetti | Source | Distribution |
| Name | Contribution |
| Giulio Rossetti | Library Design/Documentation |
| Letizia Milli | Community Models Integration |
| Rémy Cazabet | Visualization |
| Salvatore Citraro | Community Models Integration |
| Andrea Failla | Community Models Integration |
.. toctree:: :maxdepth: 1 :hidden: overview.rst installing.rst tutorial.rst reference/reference.rst bibliography.rst