face2face.statistics.distribution.calculate_triangle_duration

face2face.statistics.distribution.calculate_triangle_duration(Data, bins=None)

Calculates the probabilities for the contact duration between triangle constellations

Calculates the probability how long a triangle constellation lasts.

Parameters

Data.interaction (Data) – Contains a dataframe with the tij-data from the dataset

Returns

• x_y_list (List) – A list with two lists. The first list contains the probabilitys for the y-axis and the second list contains the triangle 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="\\t",
>>>               path_meta="face2face/data/Test/meta_test.dat", separator_meta="\\t",
>>>               meta_attr_list=attr_list)
>>> y_x_list, delta_t_list = calculate_triangle_duration(test_df)
>>> print(y_x_list[0])
[0.42857142857142855, 0.2857142857142857, 0.14285714285714285, 0.14285714285714285]
>>> print(y_x_list[1])
[20, 40, 60, 80]

See also

face2face.statistics.distribution.calculate_contact_duration(), face2face.statistics.distribution.calculate_inter_contact_duration()