Epidemic spreading as a driving force of system evolution

Network models are graphical tools to aid illustration of relationships between things and processes, usually of a unifying theme. With network models, interconnected nodes can clearly describe the relationships of virtually all processes, regardless of scale, from a micro level (cellular) to a macr...

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Bibliographic Details
Main Author: Kwok, Elton Jia Wei.
Other Authors: Xiao Gaoxi
Format: Final Year Project (FYP)
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/54215
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author Kwok, Elton Jia Wei.
author2 Xiao Gaoxi
author_facet Xiao Gaoxi
Kwok, Elton Jia Wei.
author_sort Kwok, Elton Jia Wei.
collection NTU
description Network models are graphical tools to aid illustration of relationships between things and processes, usually of a unifying theme. With network models, interconnected nodes can clearly describe the relationships of virtually all processes, regardless of scale, from a micro level (cellular) to a macro framework (food web). Recent studies have elevated the potency of these network models for they are found to be able to succinctly and accurately describe our interconnected world. Despite the importance of networks, little is understood about their structural framework and properties. The project aims to be at least successful in producing a simulation which can show the dynamics of system evolution in face of an epidemic. It will allow the author to have a more profound understanding of the dynamics of such phenomenon from the results obtained. This will enable us to investigate the role of epidemic in the evolution of system network.
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spelling ntu-10356/542152023-07-07T15:44:38Z Epidemic spreading as a driving force of system evolution Kwok, Elton Jia Wei. Xiao Gaoxi School of Electrical and Electronic Engineering DRNTU::Engineering Network models are graphical tools to aid illustration of relationships between things and processes, usually of a unifying theme. With network models, interconnected nodes can clearly describe the relationships of virtually all processes, regardless of scale, from a micro level (cellular) to a macro framework (food web). Recent studies have elevated the potency of these network models for they are found to be able to succinctly and accurately describe our interconnected world. Despite the importance of networks, little is understood about their structural framework and properties. The project aims to be at least successful in producing a simulation which can show the dynamics of system evolution in face of an epidemic. It will allow the author to have a more profound understanding of the dynamics of such phenomenon from the results obtained. This will enable us to investigate the role of epidemic in the evolution of system network. Bachelor of Engineering 2013-06-17T03:04:49Z 2013-06-17T03:04:49Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54215 en Nanyang Technological University 59 p. application/pdf
spellingShingle DRNTU::Engineering
Kwok, Elton Jia Wei.
Epidemic spreading as a driving force of system evolution
title Epidemic spreading as a driving force of system evolution
title_full Epidemic spreading as a driving force of system evolution
title_fullStr Epidemic spreading as a driving force of system evolution
title_full_unstemmed Epidemic spreading as a driving force of system evolution
title_short Epidemic spreading as a driving force of system evolution
title_sort epidemic spreading as a driving force of system evolution
topic DRNTU::Engineering
url http://hdl.handle.net/10356/54215
work_keys_str_mv AT kwokeltonjiawei epidemicspreadingasadrivingforceofsystemevolution