Large-scale evaluation framework for local influence theories in Twitter
作者：
Highlights：
• We propose a formalized evaluation framework for topic-specific influence theories specialized in Twitter.
• We introduce a novel evaluation metric that assesses the aggregate sentiment of a group of user.
• We introduce a two-dimensional taxonomy for classifying influence theories.
• We use the framework to evaluate five existing theories from literature and assess their performance.
摘要
•We propose a formalized evaluation framework for topic-specific influence theories specialized in Twitter.•We introduce a novel evaluation metric that assesses the aggregate sentiment of a group of user.•We introduce a two-dimensional taxonomy for classifying influence theories.•We use the framework to evaluate five existing theories from literature and assess their performance.
论文关键词：Evaluation framework,Social influence,Topic communities
论文评审过程：Received 4 September 2013, Revised 18 June 2014, Accepted 19 June 2014, Available online 22 July 2014.
论文官网地址：https://doi.org/10.1016/j.ipm.2014.06.002
