Comparing the accuracy of several network-based COVID-19 prediction algorithms
2020 · International Journal of Forecasting · 58 citations
https://doi.org/10.1016/j.ijforecast.2020.10.001
M
Massimo A. Achterberg
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Massimo A. Achterberg is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Complex Network Analysis Techniques & COVID-19 epidemiological studies & Opinion Dynamics and Social Influence. The author has an h-index of 6, co-authored 19 publications.
ORCID: 0000-0002-9469-1732Papers by this author
worksNetwork-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei
2020 · Applied Network Science · 51 citations
https://doi.org/10.1007/s41109-020-00274-2
A minimal model for adaptive SIS epidemics
2023 · Nonlinear Dynamics · 7 citations
https://doi.org/10.1007/s11071-023-08498-4
Minimizing the effective graph resistance by adding links is NP-hard
2023 · Operations Research Letters · 6 citations
https://doi.org/10.1016/j.orl.2023.10.002
Mean-field dynamics of the non-consensus opinion model
2024 · Applied Network Science · 3 citations
https://doi.org/10.1007/s41109-024-00656-w
Additional file 2 of Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei
2020 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.12629128
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