figures.py

import os

from generate_figures.figure_accuracy_homophily import figure_accuracy_homophilic
from generate_figures.figure_cumulative_prior_post import figure_cumulative_prior_post
from generate_figures.figure_distribution_accuracy import figure_distribution_accuracy
from generate_figures.figure_distribution_accuracy_pre_influence import (
    figure_distribution_accuracy_pre_influence,
)
from generate_figures.figure_distribution_in_degree import figure_distribution_in_degree
from generate_figures.figure_distribution_influence import figure_distribution_influence
from generate_figures.figure_epistemic_accuracy import figure_epistemic_accuracy

if __name__ == "__main__":
    folder_name = "new_figures"
    data_file = "data/clean.csv"
    os.makedirs(folder_name, exist_ok=True)

    figure_accuracy_homophilic(
        filename=f"{folder_name}/figure_accuracy_homophilic",
        number_of_communities=200,
        number_of_voting_simulations=200,
    )
    figure_distribution_accuracy_pre_influence(
        filename=f"{folder_name}/figure_distribution_accuracy_pre_influence",
        data_file=data_file,
    )

    figure_distribution_influence(
        filename=f"{folder_name}/figure_distribution_influence", data_file=data_file,
    )
    figure_distribution_accuracy(
        filename=f"{folder_name}/figure_distribution_accuracy", data_file=data_file,
    )
    figure_epistemic_accuracy(
        filename=f"{folder_name}/figure_epistemic_accuracy", scale=4
    )

    figure_cumulative_prior_post(
        filename=f"{folder_name}/figure_cumulative_prior_post", data_file=data_file,
    )

    figure_distribution_in_degree(
        filename=f"{folder_name}/figure_distribution_in_degrees",
        communities_file="data/communities.pickle",
        collect=False,
    )