Noisy voter model for the parliamentary presence

Here you can find Python implementation of the noisy voter model for the parliamentary presence. This variation of the noisy voter model differs from the other variations in having two states: the true state (which corresponds to intent) and the observed state (which corresponds to action).

This model was introduced in [1].

You are free to reuse and/or modify this code for your owm purposes. Proper attribution (e.g., referencing [1]) would be quite welcome.

Note that here you find two implementations of the model, which are identical except that modelNumba.py has an additional dependency numba. If you have access to numba, you might want to use that implementation, because it gives a preformance boost.

Reference

1. A. Kononovicius. Noisy voter model for the anomalous diffusion of parliamentary presence. Journal of Statistical Mechanics 2020: 063405 (2020). doi: 10.1088/1742-5468/ab8c39. arXiv:2001.01479 [physics.soc-ph].