論文

査読有り
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
  • Atsushi Tanaka
  • ,
  • Hikaru Takemura
  • ,
  • Keishi Tajima

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
DOI
https://doi.org/10.1145/2631775.2631790
DBLP
https://dblp.uni-trier.de/rec/conf/ht/TanakaTT14
URL
http://doi.acm.org/10.1145/2631775.2631790
URL
http://dblp.uni-trier.de/db/conf/ht/ht2014.html#conf/ht/TanakaTT14
ID情報
  • DOI : 10.1145/2631775.2631790
  • DBLP ID : conf/ht/TanakaTT14
  • SCOPUS ID : 84907384046

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