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1 Ergebnisse
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Network structure indexes to forecast epidemic spreading in..:
Michele Bellingeri
;
Daniele Bevacqua
;
Massimiliano Turchetto
...
https://www.frontiersin.org/articles/10.3389/fphy.2022.1017015/full. , 2022
Link:
https://doi.org/10.3389/fphy.2022.1017015
RT Journal T1
Network structure indexes to forecast epidemic spreading in real-world complex networks
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:30e82de8ca2f42cb98fbd31d99190433&Exemplar=1&LAN=DE A1 Michele Bellingeri A1 Daniele Bevacqua A1 Massimiliano Turchetto A1 Francesco Scotognella A1 Roberto Alfieri A1 Ngoc-Kim-Khanh Nguyen A1 Thi Trang Le A1 Quang Nguyen A1 Davide Cassi PB Frontiers Media S.A. YR 2022 K1 complex networks K1 network spreading K1 network epidemics K1 network structural characteristics K1 SIR (susceptible infected recovered) model K1 Physics K1 QC1-999 JF https://www.frontiersin.org/articles/10.3389/fphy.2022.1017015/full LK http://dx.doi.org/https://doi.org/10.3389/fphy.2022.1017015 DO https://doi.org/10.3389/fphy.2022.1017015 SF ELIB - SuUB Bremen
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