Reference implementation for Cascade Virality

tools.py: functions for quantifying cascade virality

demo.ipynb: demonstration of how to use

Main dependencies:

time
numpy
networkx
matplotlib
pygraphviz (needed if graphviz_layout is used)

If you find this useful in your project, please consider citing our paper:

Viral vs. broadcast: Characterizing the virality and growth of cascades.

Yafei Zhang, Lin Wang, Jonathan J. H. Zhu, Xiaofan Wang

EPL (Europhysics Letters), 131(2), 28002 (2020).

https://iopscience.iop.org/article/10.1209/0295-5075/131/28002/meta

A long version of this paper is also available at arXiv preprint:

Go viral or go broadcast? Characterizing the virality and growth of cascades.

arXiv:2006.01027

https://arxiv.org/abs/2006.01027

BibTeX Citation

@article{Zhang2020,
    author = {Yafei Zhang and Lin Wang and Jonathan J. H. Zhu and Xiaofan Wang},
    title = {Viral vs. broadcast: Characterizing the virality and growth of cascades},
    journal = {{EPL} (Europhysics Letters)},
    year = {2020},
    month = {aug},
    publisher = {{IOP} Publishing},
    volume = {131},
    number = {2},
    pages = {28002},
    doi = {10.1209/0295-5075/131/28002},
    url = {https://doi.org/10.1209/0295-5075/131/28002},
}

Should you have any further quires about the code, please contact at: yflyzhang_at_gmail.com