CyNetDiff: A Python Library for Accelerated Implementation of Network Diffusion Models
Summary: CyNetDiff: a Python library implementing independent cascade and linear threshold diffusion simulations with Cython-backed components to accelerate large-scale Monte Carlo runs. Bridges Python usability with C-level performance for computationally intensive diffusion experiments. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Eliot W. Robson (University of Illinois Urbana-Champaign)
- 2. Dhemath Reddy (University of Illinois Urbana-Champaign)
- 3. Abhishek K. Umrawal (University of Illinois Urbana-Champaign)
BibTeX Citation
@article{robson_vldb24,
title = {{CyNetDiff: A Python Library for Accelerated Implementation of Network Diffusion Models}},
author = {Robson, Eliot W. and Reddy, Dhemath and Umrawal, Abhishek K.},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4409--4412},
doi = {10.14778/3685800.3685887},
url = {https://doi.org/10.14778/3685800.3685887},
year = {2024}
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| 296 | A Data-Based Approach to Social Influence Maximization | 2012 | VLDB | 0.00022127524 |
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