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The non-linear impact of data handling on network diffusion models
Many computational models rely on real-world data, and the steps required in moving from data collection, to data preparation, to model calibration, and input are becoming increasingly complex. Errors in data can lead to errors in model output that might invalidate conclusions in extreme cases. Whil...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672192/ https://www.ncbi.nlm.nih.gov/pubmed/34950910 http://dx.doi.org/10.1016/j.patter.2021.100397 |