Genetic algorithm based rumor mitigation in online social networks through counter-rumors: A multi-objective optimization

作者：

Highlights：

• Precedence based Competitive Cascade (PCC) model for influence propagation in OSN

• Multi-objective optimization for selecting minimal seed user set for counter-rumor

• Decomposition based Multi-objective Genetic (DMOG) algorithm to minimize rumor spread

• Evaluation of the proposed PCC model and DMOG algorithm on three real-world datasets

摘要

•Precedence based Competitive Cascade (PCC) model for influence propagation in OSN•Multi-objective optimization for selecting minimal seed user set for counter-rumor•Decomposition based Multi-objective Genetic (DMOG) algorithm to minimize rumor spread•Evaluation of the proposed PCC model and DMOG algorithm on three real-world datasets

论文关键词：Rumor,Competing cascades,Genetic algorithm,Multi-objective optimization,Online social networks

论文评审过程：Received 20 January 2021, Revised 19 May 2021, Accepted 21 June 2021, Available online 2 July 2021, Version of Record 2 July 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102669