Validating viral marketing strategies in Twitter via agent-based social simulation
作者：
Highlights：
• We present a method to validate viral marketing strategies in Twitter.
• The method is based on an Agent-based Social Simulation research methodology.
• A rumor spread model and control strategies are also presented as a case study.
• The model and the strategies are evaluated against others in the literature.
• An open-source simulator and the Twitter data employed are also given.
摘要
•We present a method to validate viral marketing strategies in Twitter.•The method is based on an Agent-based Social Simulation research methodology.•A rumor spread model and control strategies are also presented as a case study.•The model and the strategies are evaluated against others in the literature.•An open-source simulator and the Twitter data employed are also given.
论文关键词：Agent-based Social Simulation,Viral marketing,Social network analysis,Rumor spreading model,Twitter,Big data
论文评审过程：Received 24 July 2015, Revised 27 November 2015, Accepted 18 December 2015, Available online 29 December 2015, Version of Record 18 January 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.12.021
