Paper Info
Title
Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog.
Abstract
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.
Year
DOI
Venue
2017
10.1155/2017/6416795
COMPLEXITY
Field
DocType
Volume
Data science,Social network,Agent-based model,Social media,China,Microblogging,Decomposition method (constraint satisfaction),Artificial intelligence,Complex network,Mathematics,Machine learning
Journal
2017
ISSN
Citations 
PageRank 
1076-2787
0
0.34
References 
Authors
2
3
Name
Order
Citations
PageRank
Jun Pan100.34
Huizhang Shen2106.56
Zhong Chen3317.12