Stochastic simulation of HIV population dynamics through complex network modelling

• Main Authors: Sloot, Peter M. A., Ivanov, S. V., Boukhanovsky, Alexander V., Boucher, Charles A. B., van de Vijver, David A. M. C.
• 其他作者: School of Computer Engineering
• 格式: Article
• 語言: English
• 出版: 2013
• 在線閱讀: https://hdl.handle.net/10356/84333; http://hdl.handle.net/10220/10126
• 機構: Nanyang Technological University

We propose a new way to model HIV infection spreading through the use of dynamic complex networks. The heterogeneous population of HIV exposure groups is described through a unique network degree probability distribution. The time evolution of the network nodes is modelled by a Markov process and gi...