Evolutionary multiobjective optimization to target social network influentials in viral marketing
作者：
Highlights：
• We apply evolutive multi-objective optimization for the viral marketing problem.
• We consider two conflicting objectives (sales revenue and costs) for the viral campaigns.
• Sets of non-dominated solutions are given to show different viral marketing strategies.
• We propose a novel agent-based modeling framework to simulate the marketing campaigns.
• Different scenarios are tested when applying the multi-objective optimization algorithms.
摘要
•We apply evolutive multi-objective optimization for the viral marketing problem.•We consider two conflicting objectives (sales revenue and costs) for the viral campaigns.•Sets of non-dominated solutions are given to show different viral marketing strategies.•We propose a novel agent-based modeling framework to simulate the marketing campaigns.•Different scenarios are tested when applying the multi-objective optimization algorithms.
论文关键词：Viral marketing,Influence maximization,Influentials targeting,Social networks,Evolutionary multiobjective optimization,Agent-based modeling
论文评审过程：Received 5 October 2019, Revised 17 December 2019, Accepted 3 January 2020, Available online 10 January 2020, Version of Record 21 January 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113183
