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Erschienen in:
2017 | OriginalPaper | Buchkapitel
An Implementation of Disease Spreading over Biological Networks
verfasst von : Nickie Lefevr, Spiridoula Margariti, Andreas Kanavos, Athanasios Tsakalidis
Erschienen in: Engineering Applications of Neural Networks
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Abstract
Complex networks can be considered as a new field of scientific research inspired by the empirical study of real-world networks such as computer, social as well as biological ones. More to this point, the study of complex networks has expanded in many disciplines including mathematics, physics, biology, telecommunications, computer science, sociology, epidemiology and others. An important type of complex networks are called biological dealing with the mathematical analysis of connections - interfaces that are ecological, evolutionary and physiological studies, such as neural networks or network epidemic models. The analysis of biological networks in connection with human diseases has led to expand science and examine medical supplies networks for their deeper understanding. In this paper, an implementation of epidemic/networks models is introduced concerning the HIV spreading in a sample of people who are needle drug users.