Effectiveness of Incorporating Follow Relation into Searching for Twitter Users to Follow
Effectiveness of Incorporating Follow Relation into Searching for Twitter Users to Follow
复制标题
DOI：
10.1007/978-3-319-08245-5_27
复制
发表时间：
2014-07
期刊：
影响因子：
--
通讯作者：
T. Noro;T. Tokuda
中科院分区：
文献类型：
--
作者：
T. Noro;T. Tokuda
Twitter是最受欢迎的微博客服务之一，它促进了实时信息的收集、提供和共享。关注有影响力的Twitter用户是有效获取与感兴趣的主题相关的有价值信息的一种方法。最近对这个问题进行了许多研究，一般来说，跟随关系对于衡量用户影响力没有用处。在本文中，我们研究的有效性，不仅将推文活动（转推和提及），但也遵循关系到搜索良好的Twitter用户，以获取信息的兴趣话题。我们提出了一种方法来发现Twitter用户的基础上的追随关系和鸣叫活动，并显示追随关系可以提高性能相比，仅基于鸣叫活动的方法。
Twitter is one of the most popular microblogging services that facilitate real-time information collection, provision, and sharing. Following influential Twitter users is one way to get valuable information related to a topic of interest efficiently. Recently many researches on this issue have been done and, in general, it is said that the follow relation is not useful for measuring user influence. In this paper, we study effectiveness of incorporating not only the tweet activity (retweet and mention) but also the follow relation into searching for good Twitter users to follow for getting information on a topic of interest. We present a method for finding Twitter users based on both the follow relation and the tweet activity, and show the follow relation could improve the performance as compared with methods based on only the tweet activity.