2014年
Why you follow: A classification scheme for twitter follow links
HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
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- 開始ページ
- 324
- 終了ページ
- 326
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1145/2631775.2631790
- 出版者・発行元
- Association for Computing Machinery
Twitter is used for various purposes, such as, information publishing/gathering, open discussions, and personal communications. As a result, there are various types of follow links. In this paper, we propose a scheme for classifying follow links according to the followers' intention. The scheme consists of three axes: user-orientation, content-orientation, and mutuality. The combination of these three axes can classify most major types of follow links. Our experimental results suggest that the type of a follow link does not solely depend on the type of the followee nor solely on the type of the follower. The results also suggest that the proposed three axes are highly independent of one another. © 2014 Authors.
- リンク情報
- ID情報
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- DOI : 10.1145/2631775.2631790
- DBLP ID : conf/ht/TanakaTT14
- SCOPUS ID : 84907384046