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Figure 1 | EPJ Data Science

Figure 1

From: Adaptation of student behavioural routines during Covid-19: a multimodal approach

Figure 1

Activity Routines 1–3. In (a) we can see the components 1–3 extracted by the NMF algorithm for the activity dimension. The vectors representing each component in the matrix K have been visually rearranged in a matrix format, so that the rows represent the different possible activities, while columns are the 48 bins in which the day has been divided (i.e., every 30 minutes). Thus, the heatmaps shows how present an activity is in a specific time slot. In (b) we can see the distributions of the weights each student (divided by year) has for the components, showing how much that routine is important for the student’s behaviour. We see that only the first component has different distributions for 2018 and 2020. The Information Gain (IG) shown quantifies how much knowing the component can tell apart 2018 behaviours from 2020 behaviours, and thus quantifies the weights distributions difference

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