semvec/pypi-packages huggingface dataset:
influence-model 0.1.1
A Python implementation of the influence model, a generative model that describes the interactions between networked Markov chains
Requires Python: >=3.7

influence-model
========

`influence_model` is a Python implementation of the influence model, a generative model that describes the interactions between networked Markov chains.

**Why influence_model?** It provides an efficient and well-documented implementation of Asavathiratham's influence model, and supports defining new influence models as well as generating observations through applying the model's evolution equations.

Install _influence-model_ by: 

```
pip install influence-model
```

If you find this library helpful to your work, please cite the following paper:

@article{Erhardt_Hidden_Messages_Mapping_2023,
    author = {Erhardt, Keeley and Pentland, Alex},
    doi = {10.0000/00000},
    journal = {Computational and Mathematical Organization Theory},
    month = sep,
    number = {3},
    pages = {1--10},
    title = {{Hidden Messages: Mapping Nations’ Media Campaigns}},
    volume = {29},
    year = {2023}
}