Generating surrogate temporal networks from mesoscale building blocks
Abstract Surrogate networks can constitute suitable replacements for real networks, in particular to study dynamical processes on networks, when only incomplete or limited datasets are available. As empirical datasets most often present complex features and interplays between structure and temporal...
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| Main Authors: | Giulia Cencetti, Alain Barrat |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-025-02075-4 |
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