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Inferring dynamic topology for decoding spatiotemporal structures in complex heterogeneous networks
Extracting complex interactions (i.e., dynamic topologies) has been an essential, but difficult, step toward understanding large, complex, and diverse systems including biological, financial, and electrical networks. However, reliable and efficient methods for the recovery or estimation of network t...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140519/ https://www.ncbi.nlm.nih.gov/pubmed/30150403 http://dx.doi.org/10.1073/pnas.1721286115 |