Reconstruction of stochastic temporal networks through diffusive arrival times
Reconstruction of time-resolved interactions in networks is more challenging than for the time-independent case, as causal relations limit accessibility to empirical data. Here the authors propose a method based on first-arrival observations of a diffusion process to infer stochastic temporal networ...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2017
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/c6bc36aa86c04650a5ce7436286b223f |
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| Sumario: | Reconstruction of time-resolved interactions in networks is more challenging than for the time-independent case, as causal relations limit accessibility to empirical data. Here the authors propose a method based on first-arrival observations of a diffusion process to infer stochastic temporal networks. |
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