Efficient influence spread management via budget allocation at community scale
作者:
Highlights:
• We propose a unified community-based seed triggering model.
• Two new variants of influence maximization and prevention problems are defined.
• Efficient algorithms with provable approximation guarantees are designed.
• Extensive experiments demonstrate the effectiveness of our methods.
摘要
•We propose a unified community-based seed triggering model.•Two new variants of influence maximization and prevention problems are defined.•Efficient algorithms with provable approximation guarantees are designed.•Extensive experiments demonstrate the effectiveness of our methods.
论文关键词:Influence maximization,Misinformation prevention,Community-based seed triggering,Reverse influence sampling
论文评审过程:Received 10 September 2020, Revised 25 February 2021, Accepted 27 February 2021, Available online 6 March 2021, Version of Record 26 March 2021.
论文官网地址:https://doi.org/10.1016/j.eswa.2021.114814