Estimation and maximization of user influence in social networks
作者：
Highlights：
• Estimating the influence created by the users on social networking sites by commenting about the products of a firm.
• Maximizing the influence by offering product for free to potential users and later at discounted price in a social network.
• Maximizing the revenue using the discounting method in a considered social network.
• Computational experiments are conducted on real-world networks representing different scenarios.
摘要
•Estimating the influence created by the users on social networking sites by commenting about the products of a firm.•Maximizing the influence by offering product for free to potential users and later at discounted price in a social network.•Maximizing the revenue using the discounting method in a considered social network.•Computational experiments are conducted on real-world networks representing different scenarios.
论文关键词：Social networks,Influence maximization,Revenue maximization,Product reviews,User influence
论文评审过程：Received 12 August 2018, Revised 28 November 2018, Accepted 24 December 2018, Available online 10 January 2019, Version of Record 10 January 2019.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2018.12.016
