Predicting the influence of users’ posted information for eWOM advertising in social networks

作者：

Highlights：

• We defined the “influence score” of a post.

• We proposed some potential predictive features from our own investigation.

• We considered two scenarios for developing predictive models.

• We conducted an empirical evaluation to evaluate the proposed features and models.

摘要

•We defined the “influence score” of a post.•We proposed some potential predictive features from our own investigation.•We considered two scenarios for developing predictive models.•We conducted an empirical evaluation to evaluate the proposed features and models.

论文关键词：Social network,Electronic word-of-mouth (eWOM),Influence,Data mining,Sentiment analysis

论文评审过程：Received 31 July 2013, Revised 6 October 2014, Accepted 13 October 2014, Available online 22 October 2014.

论文官网地址：https://doi.org/10.1016/j.elerap.2014.10.001