Looking for the perfect tweet. The use of data mining techniques to find influencers on twitter

作者：

Highlights：

• Information processing and influence on microblogging depends on tweets' content.

• Expressing positive sentiments in tweets contributes to increase users' influence.

• Using hashtags and mentions increases the influence of a Twitter user.

• Using links makes users less popular on microblogging sites when posting.

• There is no significant effect of tweet length on users' influence on microblogging.

摘要

•Information processing and influence on microblogging depends on tweets' content.•Expressing positive sentiments in tweets contributes to increase users' influence.•Using hashtags and mentions increases the influence of a Twitter user.•Using links makes users less popular on microblogging sites when posting.•There is no significant effect of tweet length on users' influence on microblogging.

论文关键词：Social influence,Influencers,e-WOM,Tweet elements,Twitter

论文评审过程：Received 26 April 2016, Revised 4 July 2016, Accepted 22 July 2016, Available online 31 July 2016, Version of Record 31 July 2016.

论文官网地址：https://doi.org/10.1016/j.chb.2016.07.035