作者: Lansheng Han , Hui Liu , Baffour Kojo Asiedu
DOI: 10.1007/11539902_111
关键词: Theoretical computer science 、 Predicate (mathematical logic) 、 Operations research 、 Analytic model 、 Computer science 、 Key factors 、 Path (graph theory)
摘要: Most existing spreading models for network viruses are developed refereing to the epidemic biological viruses. However, Why most spread much slower than those predicate? still exist when they go beyond threshold predicated by models? Contrary prior models, paper points out have different features compared with viruses, such as connectivity rate and cure both functions of time which also key factors affect Based on constructs a more general epidemiological model For several particular cases presents simulations find consistent well statistics some real Thus opens one path modifying traditional models.