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A Python implementation of the influence model, a generative model that describes the interactions between networked Markov chains

Project description

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} }

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