Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog
Mass incidents, which may influence the stability and security of the society in China, are getting more and more attentions not only from policy makers but also from Chinese social researchers. Catching the diffusion mechanism is believed to be critical to understand essential of these mass inciden...
Główni autorzy: | , , |
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Format: | Artykuł |
Język: | English |
Wydane: |
Hindawi-Wiley
2017-01-01
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Seria: | Complexity |
Dostęp online: | http://dx.doi.org/10.1155/2017/6416795 |
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author | Jun Pan Huizhang Shen Zhong Chen |
author_facet | Jun Pan Huizhang Shen Zhong Chen |
author_sort | Jun Pan |
collection | DOAJ |
description | Mass incidents, which may influence the stability and security of the society in China, are getting more and more attentions not only from policy makers but also from Chinese social researchers. Catching the diffusion mechanism is believed to be critical to understand essential of these mass incidents since message dissemination plays important roles in every stage of mass incident. Recently, online social networks including Weibo (Chinese Twitter) become more and more popular in China. There are reports showing that Weibo discussion has accompanied the processes of most mass incidents happening in China in these few years. So, in this paper, we aim at introducing K-Core decomposition method from complex network to the analysis on how to manage the diffusion of mass incident in Weibo based on agent based model which can simulate Weibo user’s actions when mass incident happens. This work can help people understand how mass incident messages spread across the network. And then, people may have better strategy to manage the diffusion of mass incidents. |
first_indexed | 2025-03-20T03:20:52Z |
format | Article |
id | doaj.art-ea9ed22af0a544799c4cd3467ba70031 |
institution | Directory Open Access Journal |
issn | 1076-2787 1099-0526 |
language | English |
last_indexed | 2025-03-20T03:20:52Z |
publishDate | 2017-01-01 |
publisher | Hindawi-Wiley |
record_format | Article |
series | Complexity |
spelling | doaj.art-ea9ed22af0a544799c4cd3467ba700312024-10-03T07:09:58ZengHindawi-WileyComplexity1076-27871099-05262017-01-01201710.1155/2017/64167956416795Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in MicroblogJun Pan0Huizhang Shen1Zhong Chen2Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200052, ChinaAntai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200052, ChinaAntai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200052, ChinaMass incidents, which may influence the stability and security of the society in China, are getting more and more attentions not only from policy makers but also from Chinese social researchers. Catching the diffusion mechanism is believed to be critical to understand essential of these mass incidents since message dissemination plays important roles in every stage of mass incident. Recently, online social networks including Weibo (Chinese Twitter) become more and more popular in China. There are reports showing that Weibo discussion has accompanied the processes of most mass incidents happening in China in these few years. So, in this paper, we aim at introducing K-Core decomposition method from complex network to the analysis on how to manage the diffusion of mass incident in Weibo based on agent based model which can simulate Weibo user’s actions when mass incident happens. This work can help people understand how mass incident messages spread across the network. And then, people may have better strategy to manage the diffusion of mass incidents.http://dx.doi.org/10.1155/2017/6416795 |
spellingShingle | Jun Pan Huizhang Shen Zhong Chen Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog Complexity |
title | Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog |
title_full | Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog |
title_fullStr | Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog |
title_full_unstemmed | Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog |
title_short | Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog |
title_sort | based on agent model and k core decomposition to analyze the diffusion of mass incident in microblog |
url | http://dx.doi.org/10.1155/2017/6416795 |
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