The mathematical theory of infectious diseases and its applications. 2nd edition.
By J. Radcliffe, N. Bailey. 1975
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Márk Jelasity
- Alberto Montresor
- Özalp Babaoglu
- Christos Faloutsos
- Deepayan Chakrabarti
- Gianni Di Caro
- G. Canright
- Jure Leskovec
Citations in the corpus
- A Stochastic Formulation of the Bass Model of New-Product Diffusion (2002, unknown): “114, Remark (2)) and 1/m as the probability for the tagged individual to be responsible for this adoption.”
- Design patterns from biology for distributed computing (2006, background): “Examples include growth processes, signal propagation in certain neural networks [Arbib et al. 1997], epidemic spreading [Bailey 1975], or proliferation processes in the immune system [Janeway et al. 2001].”
- A Gossip-Style Failure Detection Service (2009, background): “The probabilities involved in gossiping can be calculated using epidemic theory (see, for example, [3, 8, 10, 5]).”
- Graph mining: Laws, generators, and algorithms (2006, methodology): “Viral propagation models: Epidemiological models have been used to study this problem [Bailey 1974], and two models have been borrowed from the disease propagation literature:”
- Virus Spread in Networks (2009, background): “, [3], [6], [11], and [12]) mention the existence of an epidemic threshold .”