Using graph embedding and machine learning to identify rebels on twitter

作者：

Highlights：

• A new multi-regional dataset having tweets of rebel, normal and counter rebel users covering five countries is presented

• A novel user graph to capture stance of a user is proposed

• Fifteen features belonging to three categories are proposed

• Various aspects of normal, rebel and counter rebel users are analyzed

摘要

•A new multi-regional dataset having tweets of rebel, normal and counter rebel users covering five countries is presented•A novel user graph to capture stance of a user is proposed•Fifteen features belonging to three categories are proposed•Various aspects of normal, rebel and counter rebel users are analyzed

论文关键词：Rebels,Social network analysis,User graph,Supervised Rebel Identification (SRI),Machine learning

论文评审过程：Received 2 March 2020, Revised 7 November 2020, Accepted 25 November 2020, Available online 5 December 2020, Version of Record 5 December 2020.

论文官网地址：https://doi.org/10.1016/j.joi.2020.101121