A Hybrid Clustered SFLA-PSO algorithm for optimizing the timely and real-time rumor refutations in Online Social Networks

作者：

Highlights：

• A novel expression of the trust degree on the rumor refutation is proposed.

• A HCSFLA-PSO algorithm is proposed for the timely and real-time rumor refutations.

• Two sub-algorithms are proposed during the truth evolution within each cluster.

• An accumulation model of the rumor influence is designed for the continual update.

• The conduits of the truth propagation are classified by different trust degrees.

摘要

•A novel expression of the trust degree on the rumor refutation is proposed.•A HCSFLA-PSO algorithm is proposed for the timely and real-time rumor refutations.•Two sub-algorithms are proposed during the truth evolution within each cluster.•An accumulation model of the rumor influence is designed for the continual update.•The conduits of the truth propagation are classified by different trust degrees.

论文关键词：Hybrid Clustered Shuffled Frog-Leaping Algorithm-Particle Swarm Optimization (HCSFLA-PSO) algorithm,Online Social Networks (OSNs),Timely and real-time rumor refutations,Social relations,Trust degree

论文评审过程：Received 2 November 2021, Revised 17 August 2022, Accepted 17 August 2022, Available online 24 August 2022, Version of Record 9 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118638