Crash of social networks with cherished connections : a simulation study

No matter the level of engagement from community to global platforms, every living organisms have some role in a social network. When combined, these species interact with each other, creating a complex network. As we understand it, all our actions may affect others. There have been extensive effort...

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Main Author: Nur Diana Zainuren
Other Authors: XIAO Gaoxi
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149105
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1491052023-07-07T17:40:27Z Crash of social networks with cherished connections : a simulation study Nur Diana Zainuren XIAO Gaoxi School of Electrical and Electronic Engineering EGXXiao@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling No matter the level of engagement from community to global platforms, every living organisms have some role in a social network. When combined, these species interact with each other, creating a complex network. As we understand it, all our actions may affect others. There have been extensive efforts done in researching the understanding of the growth and evolution of these networks. However, understanding the phenomenon of systems crashing is still suffering from a lack of research and remains unexplored for many years. The crash of social networks can be viewed as unpredictable. A model called the ‘K-Q Cascade’ is introduced to simulate the outcome of survivability of different social networks. The main aspect focuses on the Erdös−Rényi network, Scale Free network, and Exponential network. On top of looking at the K-Q Cascade model, we will investigate the effects of cherished connections in a social network. Simulation will be done over a few test scenarios to observe how a network reacts. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-05-26T13:06:48Z 2021-05-26T13:06:48Z 2021 Final Year Project (FYP) Nur Diana Zainuren (2021). Crash of social networks with cherished connections : a simulation study. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149105 https://hdl.handle.net/10356/149105 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Nur Diana Zainuren
Crash of social networks with cherished connections : a simulation study
description No matter the level of engagement from community to global platforms, every living organisms have some role in a social network. When combined, these species interact with each other, creating a complex network. As we understand it, all our actions may affect others. There have been extensive efforts done in researching the understanding of the growth and evolution of these networks. However, understanding the phenomenon of systems crashing is still suffering from a lack of research and remains unexplored for many years. The crash of social networks can be viewed as unpredictable. A model called the ‘K-Q Cascade’ is introduced to simulate the outcome of survivability of different social networks. The main aspect focuses on the Erdös−Rényi network, Scale Free network, and Exponential network. On top of looking at the K-Q Cascade model, we will investigate the effects of cherished connections in a social network. Simulation will be done over a few test scenarios to observe how a network reacts.
author2 XIAO Gaoxi
author_facet XIAO Gaoxi
Nur Diana Zainuren
format Final Year Project
author Nur Diana Zainuren
author_sort Nur Diana Zainuren
title Crash of social networks with cherished connections : a simulation study
title_short Crash of social networks with cherished connections : a simulation study
title_full Crash of social networks with cherished connections : a simulation study
title_fullStr Crash of social networks with cherished connections : a simulation study
title_full_unstemmed Crash of social networks with cherished connections : a simulation study
title_sort crash of social networks with cherished connections : a simulation study
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/149105
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