Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags

被引:8
作者
Pervin, Nargis [1 ]
Phan, Tuan Quang [1 ]
Datta, Anindya [1 ]
Takeda, Hideaki [2 ]
Toriumi, Fujio [3 ]
机构
[1] Natl Univ Singapore, Singapore 117548, Singapore
[2] Natl Inst Informat, Tokyo, Japan
[3] Univ Tokyo, Tokyo, Japan
来源
SOCIAL COMPUTING AND SOCIAL MEDIA, SCSM 2015 | 2015年 / 9182卷
关键词
Twitter; Hashtag; Hashtag co-occurrence; Metacognitive experience; PERCEPTUAL FLUENCY; IF;
D O I
10.1007/978-3-319-20367-6_18
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Hashtags increase the reachability of a tweet to manifolds and consequently, has the potential to create a wider market for brands. The frequent use of a hashtag features it in the Twitter trending list. In this study we want to understand what contributes to the popularity of a hashtag. Further, hashtags generally come in groups in a tweet. In fact, an investigation on a real world dataset of Great Eastern Japan Earthquake reveals that 50% of hashtags appear in a tweet with at least another hashtag. How this co-occurrence of hashtags affects its popularity is also not addressed heretofore, which is the focus herein. Results indicate that if a hashtag appears with one or more other similar hashtags, popularity of the hashtag increases. In contrast, if a hashtag appears with dissimilar hashtags, popularity of the focal hashtag decreases. The results reverse when dissimilar hashtags come along with a URL.
引用
收藏
页码:169 / 182
页数:14
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