Statistics¶

Distribution¶

`calculate_contact_duration`(Data[, bins])	Calculates the probabilitys for the contact duration
`calculate_triangle_duration`(Data[, bins])	Calculates the probabilities for the contact duration between triangle constellations
`calculate_inter_contact_duration`(Data[, bins])	Calculates the probabilities for the inter-contact duration

`check_bonferroni_correction`(contact_matrix)	Apply the bonferroni correction on the contact matrix
`mapping_function`(Data[, label])	Creates a mapping
`configuration_model_label_z_score_mixing_matrix`(Data)	Creates a contact matrix based on the configuration model
`shuffle_label_z_score_mixing_matrix`(Data[, …])	Creates a contact matrix based on a null model with randomized identities.
`remove_self_loops`(graph)	Removes self-loops that occur by using the “configuration_model”-function
`to_simple_graph`(graph)

`avg_degree_attr`(df)	Calculates the average degree
`group_list_degree`(df)	Creates lists of the degrees
`global_avg_var_std`(attr_degree_list)	Calculating global degree measures

`calculating_number_of_edges_nodes`(network)	Calculate number of edges/nodes
`mean_degree_network`(network)	Calculate average degree
`variance_std_network`(network)	Calculate variance and standard deviation
`average_path_length_network`(network)	Calculate the average path length
`clustering_coefficient`(network)	Calculate the global Clustering Coefficient

`search_best_fit_distribution`(data[, xmin, …])	Searches the best fitting distribution
`get_best_fit_distribution`(distribution_list, fit)	Searches the best fitting distribution
`distribution_tupel_combinations`(…)	Searches the best fitting distribution