ProbINet: Bridging Usability Gaps in Probabilistic Network Analysis

Python Submitted 12 March 2025Published 18 August 2026
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Editor: @anastassiavybornova (all papers)
Reviewers: @giorgospanay (all reviews), @sandorjuhasz (all reviews)

Authors

Diego Baptista (0000-0003-2994-0138), Martina Contisciani, Caterina De Bacco, Jean-Claude Passy

Citation

Baptista et al., (2026). ProbINet: Bridging Usability Gaps in Probabilistic Network Analysis. Journal of Open Source Software, 11(124), 8638, https://doi.org/10.21105/joss.08638

@article{Baptista2026, doi = {10.21105/joss.08638}, url = {https://doi.org/10.21105/joss.08638}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {124}, pages = {8638}, author = {Baptista, Diego and Contisciani, Martina and De Bacco, Caterina and Passy, Jean-Claude}, title = {ProbINet: Bridging Usability Gaps in Probabilistic Network Analysis}, journal = {Journal of Open Source Software} }
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network science probabilistic modeling community detection anomaly detection synthetic data generation

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ISSN 2475-9066