Epidemic spreading in interconnected complex system

Complex system is a newly introduced concept that only has been studied for around two decades. As nowadays systems tend to be more correlated than usual. More and more studies are focusing on the interconnected/interdependent networks. In this project, the dynamics of epidemic spreading in diffe...

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Main Author: Ni, Shiliu.
Other Authors: Xiao Gaoxi
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/53356
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-533562023-07-07T17:15:18Z Epidemic spreading in interconnected complex system Ni, Shiliu. Xiao Gaoxi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Complex system is a newly introduced concept that only has been studied for around two decades. As nowadays systems tend to be more correlated than usual. More and more studies are focusing on the interconnected/interdependent networks. In this project, the dynamics of epidemic spreading in different interconnection modes are going to be observed and studied. Interconnection will be made between two Barabási–Albert (BA) Scale-Free networks with different interconnection modes. The Susceptible–Infected–Removed (SIR) epidemiology model will be adopted in simulating the spreading of disease. Programming simulations are used to demonstrate the dynamics of epidemic spreading to analyze the infection size against time. Two interconnection models are being considered, one-to-one interconnection mode and one-to-multiple interconnection mode. Comparison between the two different interconnection modes has shown that one-to-multiple interconnection mode will postpone the outbreak time, and even create two distinct outbreak peaks during the spreading procedure. Bachelor of Engineering 2013-05-31T08:09:58Z 2013-05-31T08:09:58Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53356 en Nanyang Technological University 90 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Ni, Shiliu.
Epidemic spreading in interconnected complex system
description Complex system is a newly introduced concept that only has been studied for around two decades. As nowadays systems tend to be more correlated than usual. More and more studies are focusing on the interconnected/interdependent networks. In this project, the dynamics of epidemic spreading in different interconnection modes are going to be observed and studied. Interconnection will be made between two Barabási–Albert (BA) Scale-Free networks with different interconnection modes. The Susceptible–Infected–Removed (SIR) epidemiology model will be adopted in simulating the spreading of disease. Programming simulations are used to demonstrate the dynamics of epidemic spreading to analyze the infection size against time. Two interconnection models are being considered, one-to-one interconnection mode and one-to-multiple interconnection mode. Comparison between the two different interconnection modes has shown that one-to-multiple interconnection mode will postpone the outbreak time, and even create two distinct outbreak peaks during the spreading procedure.
author2 Xiao Gaoxi
author_facet Xiao Gaoxi
Ni, Shiliu.
format Final Year Project
author Ni, Shiliu.
author_sort Ni, Shiliu.
title Epidemic spreading in interconnected complex system
title_short Epidemic spreading in interconnected complex system
title_full Epidemic spreading in interconnected complex system
title_fullStr Epidemic spreading in interconnected complex system
title_full_unstemmed Epidemic spreading in interconnected complex system
title_sort epidemic spreading in interconnected complex system
publishDate 2013
url http://hdl.handle.net/10356/53356
_version_ 1772825137648762880