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Inferring propagation paths for sparsely observed perturbations on complex networks
In a complex system, perturbations propagate by following paths on the network of interactions among the system’s units. In contrast to what happens with the spreading of epidemics, observations of general perturbations are often very sparse in time (there is a single observation of the perturbed sy...
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| Veröffentlicht in: | Sci Adv |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Association for the Advancement of Science
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5088640/ https://ncbi.nlm.nih.gov/pubmed/27819038 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.1501638 |
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