Detecting the Community Structure and Activity Patterns of Temporal Networks: A Non-Negative Tensor Factorization Approach

Short summary

Non-negative tensor factorization (NTF) can accurately identify communities and their activity patterns in temporal networks, as demonstrated by recovering school class structures from student interaction and movement data.

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