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