Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach

作者：

Highlights：

• A multilayer network-based model to represent social networks.

• Specialization of the multilayer network to Twitter through the AvaxTweets dataset.

• Analysis of the most influential users in the vaccine debate.

• Extraction of Gold hashtags for each line of thought in the vaccine debate.

• Comparison of a multilayer network approach and one with single networks.

摘要

•A multilayer network-based model to represent social networks.•Specialization of the multilayer network to Twitter through the AvaxTweets dataset.•Analysis of the most influential users in the vaccine debate.•Extraction of Gold hashtags for each line of thought in the vaccine debate.•Comparison of a multilayer network approach and one with single networks.

论文关键词：Twitter,Multilayer network,Social network analysis,Hashtag extraction,AvaxTweets dataset,COVID-19 vaccine

论文评审过程：Received 12 April 2022, Revised 9 August 2022, Accepted 4 September 2022, Available online 12 September 2022, Version of Record 18 September 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.103095