The main goal of this work is to introduce a new SIS epidemic model based on a particular type of finite state machines called cellular automata on graphs. The state of each cell stands for the fraction of the susceptible and infected individuals of the cell at a particular time step and the evolution of these classes is given in terms of a local transition function. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Fresnadillo, M. J., García, E., García, J. E., Martín, Á., & Rodríguez, G. (2009). A SIS epidemiological model based on cellular automata on graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5518 LNCS, pp. 1055–1062). https://doi.org/10.1007/978-3-642-02481-8_160
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