Opinion leader detection using whale optimization algorithm in online social network

作者：

Highlights：

• Social network-based Whale Optimization Algorithm proposed to rank opinion leader.

• Centrality based Objective function used to calculate the reputation of a user.

• The neighbor similarity-based novel method proposed to find the local communities.

• Experimental results improve performance as compared to the previous SNA measures.

摘要

•Social network-based Whale Optimization Algorithm proposed to rank opinion leader.•Centrality based Objective function used to calculate the reputation of a user.•The neighbor similarity-based novel method proposed to find the local communities.•Experimental results improve performance as compared to the previous SNA measures.

论文关键词：Whale optimization algorithm,Node centrality,Community detection,Nature-inspired meta-heuristic algorithm,Online social network,Opinion leader

论文评审过程：Received 16 April 2019, Revised 11 September 2019, Accepted 9 October 2019, Available online 13 October 2019, Version of Record 18 October 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113016