Competing transmission of multiple infectious agents in multiplex networks

Due to the rapid growth of computer network, idea, virus are spreading extremely fast on the internet. As we known, there are several of various infectious diseases in the biological life and virus in the online world. But in fact, compared to the transmission of infectious disease, those infectious...

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Bibliographic Details
Main Author: Yu, Jie
Other Authors: Xiao Gaoxi
Format: Final Year Project (FYP)
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68173
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author Yu, Jie
author2 Xiao Gaoxi
author_facet Xiao Gaoxi
Yu, Jie
author_sort Yu, Jie
collection NTU
description Due to the rapid growth of computer network, idea, virus are spreading extremely fast on the internet. As we known, there are several of various infectious diseases in the biological life and virus in the online world. But in fact, compared to the transmission of infectious disease, those infectious viruses spreading in complex network have similar patterns and model [1]. The main purpose of this project is study the transmission of infectious agents in complex networks, in order to find out and discuss the model that the infectious agent transmitted. In this report, basic knowledge of complex network, including scale-free network and small-world network would be covered. Three different epidemic model for infectious agent spreading (SI, SIR and SIS, where S stands for susceptible, I stands for infected and R stands for recovered with immunity [2]) would be discussed in this report. The main project is to simulate complex network and those transmission models by using Matlab, observe the variation in different situation. Therefore, this project is heavily based on coding with Matlab and would fulfil codes in the simulation part.  
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spelling ntu-10356/681732023-07-07T16:04:41Z Competing transmission of multiple infectious agents in multiplex networks Yu, Jie Xiao Gaoxi School of Electrical and Electronic Engineering DRNTU::Engineering Due to the rapid growth of computer network, idea, virus are spreading extremely fast on the internet. As we known, there are several of various infectious diseases in the biological life and virus in the online world. But in fact, compared to the transmission of infectious disease, those infectious viruses spreading in complex network have similar patterns and model [1]. The main purpose of this project is study the transmission of infectious agents in complex networks, in order to find out and discuss the model that the infectious agent transmitted. In this report, basic knowledge of complex network, including scale-free network and small-world network would be covered. Three different epidemic model for infectious agent spreading (SI, SIR and SIS, where S stands for susceptible, I stands for infected and R stands for recovered with immunity [2]) would be discussed in this report. The main project is to simulate complex network and those transmission models by using Matlab, observe the variation in different situation. Therefore, this project is heavily based on coding with Matlab and would fulfil codes in the simulation part.   Bachelor of Engineering 2016-05-24T07:51:34Z 2016-05-24T07:51:34Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68173 en Nanyang Technological University 50 p. application/pdf
spellingShingle DRNTU::Engineering
Yu, Jie
Competing transmission of multiple infectious agents in multiplex networks
title Competing transmission of multiple infectious agents in multiplex networks
title_full Competing transmission of multiple infectious agents in multiplex networks
title_fullStr Competing transmission of multiple infectious agents in multiplex networks
title_full_unstemmed Competing transmission of multiple infectious agents in multiplex networks
title_short Competing transmission of multiple infectious agents in multiplex networks
title_sort competing transmission of multiple infectious agents in multiplex networks
topic DRNTU::Engineering
url http://hdl.handle.net/10356/68173
work_keys_str_mv AT yujie competingtransmissionofmultipleinfectiousagentsinmultiplexnetworks