RCELF: A residual-based approach for Influence Maximization Problem
作者:
Highlights:
• We reveal the trade-off strategies among the approximate approaches for IMP.
• An effective and efficient approximate algorithm called RCELF is proposed.
• The performance of RCELF is extensively evaluated on 5 real-world datasets.
摘要
•We reveal the trade-off strategies among the approximate approaches for IMP.•An effective and efficient approximate algorithm called RCELF is proposed.•The performance of RCELF is extensively evaluated on 5 real-world datasets.
论文关键词:Social network,Influence maximization,Database,Applications
论文评审过程:Received 29 January 2020, Revised 7 May 2021, Accepted 7 June 2021, Available online 18 June 2021, Version of Record 25 June 2021.
论文官网地址:https://doi.org/10.1016/j.is.2021.101828