Measuring the impact of spammers on e-mail and Twitter networks
作者：
Highlights：
• We analyze two large social networks extracted from business emails and Twitter.
• We show the impact of several node removal strategies, focusing on spammers.
• We test network robustness and the stability of several actor-level metrics.
• We further test the stability of semantic variables, such as language sentiment.
• We draw helpful conclusions for graph simplification purposes.
摘要
•We analyze two large social networks extracted from business emails and Twitter.•We show the impact of several node removal strategies, focusing on spammers.•We test network robustness and the stability of several actor-level metrics.•We further test the stability of semantic variables, such as language sentiment.•We draw helpful conclusions for graph simplification purposes.
论文关键词：Data preprocessing,Robustness,Social network,Spammers,Stability,Email,Twitter
论文评审过程：Received 22 April 2017, Revised 3 July 2018, Accepted 17 September 2018, Available online 24 September 2018, Version of Record 14 August 2019.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2018.09.009
