| Full text | |
| Author(s): |
Rodriguez, Pablo M.
;
Roldan-Correa, Alejandro
;
Alexander Valencia, Leon
Total Authors: 3
|
| Document type: | Journal article |
| Source: | PHYSICAL REVIEW E; v. 98, n. 2, p. 4-pg., 2018-08-03. |
| Abstract | |
Cator and Van Mieghem [Phys.Rev.E 89, 052802 (2014)] stated that the correlation of infection at the same time between any pair of nodes in a network is non-negative for the Markovian susceptible-infected-susceptible (SIS) and susceptible-infected-removed (SIR) epidemic models. The arguments used to obtain this result rely strongly on the graphical construction of the stochastic process, as well as the Fortuin, Kasteleyn, and Ginibre (FKG) inequality. In this Comment, we show that although the approach used by the authors applies to the SIS model, it cannot be used for the SIR model as stated in their work. In particular, we observe that monotonicity in the process is crucial for invoking the FKG inequality. Moreover, we provide an example of a simple graph for which the nodal infection in the SIR Markovian model is negatively correlated. (AU) | |
| FAPESP's process: | 16/11648-0 - Limit theorems and phase transition results for information propagation models on graphs |
| Grantee: | Pablo Martin Rodriguez |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 17/10555-0 - Stochastic modeling of interacting systems |
| Grantee: | Fabio Prates Machado |
| Support Opportunities: | Research Projects - Thematic Grants |