Clustering of trending topics in microblogging posts: A graph-based approach
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- 作者：Tomasz Hachaja ; tomekhachaj@o2.pl" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Marek R. Ogielab ; mogiela@agh.edu.pl" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Clustering ; Communities detection ; Twitter ; Microblogging ; Social graph ; Social media
- 刊名：Future Generation Computer Systems
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：67
- 期：Complete
- 页码：297-304
- 全文大小：2806 K
文摘
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Novel method that analyze a social network is proposed.
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We detect groups of people that talk about certain topics clusters.
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We propose novel hashtags filtration model and community graph generation approach.
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We create graphs in which communities that share common interest might be detected.
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We validate our approach on three real-life datasets (106 distinct hashtags each).