A temporal graph dissimilarity measure capturing epidemic spreading behavior
Comparing temporal networks is a challenging problem in network analysis. Commonly adopted methods compare structural properties of temporal graphs and can be highly sensitive to the pre-selected features. However, temporal networks are the support of dynamical processes, and a process may take place in statistically indistinguishable ways on structurally different temporal graphs. In particular, a dissimilarity measure that compares temporal graphs based on how spreading processes unfold on them is highly desirable. In this work, we first define the Time-Shift DTW, a dissimilarity between epidemic curves that accounts for both differences in their shape and temporal shifts. We then intro...
| Authors | Salvatore Freni, Lorenzo Dall'Amico, Francesca Pistilli et al. |
|---|---|
| Primary category | cs.SI |
| Published | 12 October 2026 |
| Last updated at source | 12 October 2026 |
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