Nettet31. mar. 2010 · The interaction between multiple pathogens spreading on networks connecting a given set of nodes presents an ongoing theoretical challenge. Here, we … Nettet11. apr. 2024 · Network embedding converts the network information into a low-dimensional vector for each node, and it has become a new way for link prediction. In the process of generating node sequences, biased selection of the nearest neighbor nodes of the current node can enhance the vector representation of nodes and improve link …
PRIME PubMed Interacting epidemics on overlay networks
NettetInteracting epidemics on overlay networks. Sebastian Funk, Vincent A A Jansen. Centre for Ecology, Evolution and Behaviour; ... Amorphous computation, random graphs and complex biological networks. Jansen , V. A. A. Eng & Phys Sci Res Council EPSRC. 1/01/06 → 31/12/09. Project: Research. Cite this. APA Author Nettet31. des. 2009 · The interaction between multiple pathogens spreading on networks connecting a given set of nodes presents an ongoing theoretical challenge. Here, we … exchange rule ip range
Modeling the dynamical interaction between epidemics on overlay …
Nettet14. mar. 2014 · Dickison M, Havlin S, Stanley HE (2012) Epidemics on interconnected networks. Physical Review E 85: 066109. View Article Google Scholar 29. Marceau V, Noël PA, Hébert-Dufresne L, Allard A, Dubé LJ (2011) Modeling the dynamical interaction between epidemics on overlay networks. Physical Review E 84: 026105. Nettet29. mai 2014 · For the special case where the two-layer overlay networks are highly correlated in the sense that they have completely overlapping links and high clustering coefficient, ... Funk S. & Jansen V. A. A. Interacting epidemics on overlay networks. Phys. Rev. E 81, 036118 (2010). Nettet31. des. 2009 · The interaction between multiple pathogens spreading on networks connecting a given set of nodes presents an ongoing theoretical challenge. Here, we aim to understand such interactions by studying bond percolation of two different processes on overlay networks of arbitrary joint degree distribution. exchange rule severity