Detecting Dynamic States of Temporal Networks Using Connection Series Tensors

Figure 6

Results for the primary school data using our proposed method. (a) Similarity matrix. (b) Detected states obtained by setting community resolution as 1.0. We use the red dotted line and spans with distinct greyscales to represent the dynamic states. The schedule of a school day is displayed in a horizontal bar on the top of the figure. The letters ‘C’, ‘B’, and ‘L’ in the bar correspond to the class time, the break time, and the lunchtime in the schedule, respectively. Note that the time span (8 : 45∼17 : 20) of the collected data is not aligned with the schedule of a school day (8 : 30∼16 : 30).

(a)

(b)