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Network-based control of epidemic via flattening the infection curve: high-clustered vs. low-clustered social networks
Recent studies in network science and control have shown a meaningful relationship between the epidemic processes (e.g., COVID-19 spread) and some network properties. This paper studies how such network properties, namely clustering coefficient and centrality measures (or node influence metrics), af...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067524/ https://www.ncbi.nlm.nih.gov/pubmed/37033472 http://dx.doi.org/10.1007/s13278-023-01070-3 |