Modeling Epidemic Risk Perception in Networks With Community Structure
Source: University of Findlay
Epidemic spreading is one of the most successful and most studied applications in the field of complex networks. The comprehension of the spreading behavior of many diseases, like sexually transmitted diseases (i.e. HIV) or the H1N1 virus, can be studied through computational models in complex networks. In addition to "Real" viruses, spreading of information or computer malware in technological networks is of interest as well. The Susceptible-Infected-Susceptible (SIS) model is often used to study the spreading of an infectious agent on a network. In this model an individual is represented as a node, which can be either be "Healthy" or "Infected".