Predicting microblog users’ lifetime activities – A user-based analysis

作者：

Highlights：

• Pareto/NBD model and BG/NBD model showed effective ability to fit and predict SNS interaction behavior.

• We discovered that user base analysis models are more adapted to modeling intrinsic motivated behavior.

• User segmentation can improve the prediction accuracy by distinguishing currently active and inactive users.

摘要

•Pareto/NBD model and BG/NBD model showed effective ability to fit and predict SNS interaction behavior.•We discovered that user base analysis models are more adapted to modeling intrinsic motivated behavior.•User segmentation can improve the prediction accuracy by distinguishing currently active and inactive users.

论文关键词：Social network,Microblogging,User lifetime vitality,Pareto/NBD model,BG/NBD model

论文评审过程：Available online 12 June 2014, Version of Record 24 May 2015.

论文官网地址：https://doi.org/10.1016/j.elerap.2014.06.001