Crash of multiplex social systems

Multiplex social systems refers to systems with multiple layers of complex networks, where nodes are connected both inter-layer and intra-layer. Once any of the layers starts to crash, the status of nodes in these layers could affect their inter-layer connection, thus causing nodes in other layers t...

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Bibliographic Details
Main Author: Li, Jiahang
Other Authors: Xiao Gaoxi
Format: Final Year Project (FYP)
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78347
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author Li, Jiahang
author2 Xiao Gaoxi
author_facet Xiao Gaoxi
Li, Jiahang
author_sort Li, Jiahang
collection NTU
description Multiplex social systems refers to systems with multiple layers of complex networks, where nodes are connected both inter-layer and intra-layer. Once any of the layers starts to crash, the status of nodes in these layers could affect their inter-layer connection, thus causing nodes in other layers to leave the network, which represents the steps of cascading failure. Also, since in most of the social systems, not every participant pays the same attention to socialize, causing different weights of edges in the network. how “k-q cascade” model works in weighted network is also worth discussing. In this report, the “k-q cascade” model developed by Assoc. Prof. Xiao Gaoxi is introduced to simulate cascading failure of the network. First, several simulations on single-layer networks were processed in order to replicate the result on Prof. Xiao’s research. Then the k-q cascading model will be tested on weighted single-layer network, unweighted multiplex network and finally, weighted multiplex network.
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spelling ntu-10356/783472023-07-07T16:06:53Z Crash of multiplex social systems Li, Jiahang Xiao Gaoxi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Multiplex social systems refers to systems with multiple layers of complex networks, where nodes are connected both inter-layer and intra-layer. Once any of the layers starts to crash, the status of nodes in these layers could affect their inter-layer connection, thus causing nodes in other layers to leave the network, which represents the steps of cascading failure. Also, since in most of the social systems, not every participant pays the same attention to socialize, causing different weights of edges in the network. how “k-q cascade” model works in weighted network is also worth discussing. In this report, the “k-q cascade” model developed by Assoc. Prof. Xiao Gaoxi is introduced to simulate cascading failure of the network. First, several simulations on single-layer networks were processed in order to replicate the result on Prof. Xiao’s research. Then the k-q cascading model will be tested on weighted single-layer network, unweighted multiplex network and finally, weighted multiplex network. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-18T08:52:03Z 2019-06-18T08:52:03Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78347 en Nanyang Technological University 40 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Li, Jiahang
Crash of multiplex social systems
title Crash of multiplex social systems
title_full Crash of multiplex social systems
title_fullStr Crash of multiplex social systems
title_full_unstemmed Crash of multiplex social systems
title_short Crash of multiplex social systems
title_sort crash of multiplex social systems
topic DRNTU::Engineering::Electrical and electronic engineering
url http://hdl.handle.net/10356/78347
work_keys_str_mv AT lijiahang crashofmultiplexsocialsystems