face2face.statistics.distribution.calculate_contact_duration¶

face2face.statistics.distribution.calculate_contact_duration(Data, bins=None)¶

Calculates the probabilitys for the contact duration

Calculates the probabilities for having a face-to-face contact for the different times delta T

Parameters

Data (Data) – Contains a dataframe with the tij-data from the data set. Might also contain metadata.
bins (optional: int, default: None) – Amount of bins that are used to calculate the probabilities based on a histogram.

Returns

x_y_list (List) – A list with two lists. The first list contains the probabilities for the y-axis and the second list contains the contact duration delta T
delta_t_list (list) – Contains all the calculated $delta t$ values for the contact duration of the used data set.

References

1: Cattuto C, Van den Broeck W, Barrat A, Colizza V, Pinton JF, et al. (2010) Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks. PLOS ONE

Examples

>>> attr_list = ["ID", "Age", "Sex"]
>>> test_df = Data(path_tij="face2face/data/Test/tij_test.dat", separator_tij="     ",
>>>               path_meta="face2face/data/Test/meta_test.dat", separator_meta="   ",
>>>               meta_attr_list=attr_list)
>>> y_x_list, delta_t_list = calculate_contact_duration(test_df)
>>> print(y_x_List[0])
[0.45454545454545453, 0.2727272727272727, 0.13636363636363635, 0.13636363636363635]
>>> print(y_x_list[1])
[20, 40, 60, 80]