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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Jun Pan, Huizhang Shen, Zhong Chen
Format: Artykuł
Język:English
Wydane: Hindawi-Wiley 2017-01-01
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.
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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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